Academic year 2019 - 2020

•     3D Modelling and mixed reality applications TX00DG11-3003 16.03.2020-10.05.2020  15 credits  (TVT17-M) + -
  Learning outcomes of the course

  Student knows how to use 3D and CAD modeling to make precise models of objects and spaces. Student knows the basics of WebGL and WebVR, and can apply these to projects. Student understand 3D scanning technologies, panorama imaging and 360-videos, and can apply these to applications.

  Prerequisites and co-requisites

  Media technology studies or similar (basics of: HTML + CSS + Javascript, media formats (image, video) and their editing).

  Course contents

  - 3D and CAD modelling and processes
  - 3D scanning technologies and applications
  - Panorama and 360 imaging technologies and applications
  - Client-side Web3D and WebVR technologies
  - Using Unity to showcase models (basics)
  - Course project

  Assessment criteria

  Satisfactory

  Student knows some 3D and CAD solutions and systems, conceives the principles of added manufacturing, knows narrowly Web3D and WebVR technologies.

  Good

  Student has knowledge of essential 3D and CAD solutions and systems, understands the principles of additive manufacturing, knows Web3D and WebVR technologies, and can apply the knowledge of these to practice.

  Excellent

  Student has thorough knowledge of 3D and CAD solutions and systems, understands the principles of additive manufacturing, knows Web3D and WebVR technologies, and can distinctively apply the knowledge of these to practice.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 15 credits

  Group(s)

  • TVT17-M

  Teacher(s)

  Ulla Sederlöf, Mika Seppälä, Toni Spännäri, Matti Peltoniemi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     ARM-Processors and Embedded Operating Systems TX00CI69-3004 26.08.2019-13.10.2019  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  After completion of the course the student is able to install and configure an embedded operating systems on a hardware platform. He/she understands the principle of prioritized preemptive scheduling and is able to write programs for a multitasking environment. The student knows how to use locking and inter-process communication to implement resource efficient programs. Student is able to configure and compile kernel that is tailored to run on the target hardware. The students knows how measure and monitor system resource usage of an embedded system.

  Course contents

  - Installing an embedded operating system.
  - Configuring and compiling a kernel for a specific target hardware.
  - Configuring network and connecting the system to a network.
  - Locking in multitasking environment
  - Inter-process communication
  - Performance measurement

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 35

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     ASP.NET Core Application Development TT00DU85-3001 01.08.2019-31.12.2020  5 credits  (ATX20TV, ...) + -
  Learning outcomes of the course

  A comprehensive course to learn about ASP.NET Core. The goal of this course is for the student to be familiar with ASP.NET Core as an open-source web framework, with having higher performance than ASP.NET. After passing this course, the student will have sufficient knowledge and understanding over characteristics, abilities, and features of ASP.NET Core. The students will be able to create a whole new project and work with all the major ASP.NET Core abilities.
  This course is 100% virtual thanks to the comprehensive content made for this course.
  The student will pass this course after submitting required assignments, quizzes, projects, and essays.

  Course contents

  Compression between ASP.NET Web Forms, MVC, and Core Advantages of ASP.NET Core – Creating ASP.NET Projects - Understanding the project structure - The Program class – Error Handling and middleware – Hosting Environment – MVC Pattern – Routing and its benefits – Rendering HTML and Razor views - Dependency Injection – Database access and Entity Framework - Security and identity

  Assessment criteria

  Satisfactory

  - The students understand the general idea about ASP.NET Web Forms, MVC, and Core
  - The student can create ASP.NET Core projects.
  - The students understand the project structure.
  - The student understands MVC pattern.

  Good

  - The student is familiar with the program class.
  - The student understands Error Handling and middleware.
  - The student can benefit from Hosting Environment.
  -The student knows how to use Routing.
  - The student can easily render HRML using Razor views

  Excellent

  - The student can fully take advantage of Dependency Injection
  - The student fully understands database access and Entity Framework.
  - The student understands Security and identity in ASP.NET Core

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  - Tutorial Videos
  - Assignments
  - Quizzes
  - Project
  - Essay
  - Self-study

  Assessment methods and criteria

  Assignments 35%
  Quiz 15%
  Project 35%
  Essay 15%

  Language of instruction

  English

  Timing

  01.08.2019 - 31.12.2020

  Enrollment date

  02.07.2019 - 31.07.2019

  • 5 credits

  Group(s)

  • ATX20TV
  • ATX19TVH

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Course is for Open UAS Student.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Content = 40h
  Assignments = 20h
  Self-study and research = 20h
  Quizzes = 5h
  Project = 25h
  Essay = 10h
  Total = 120 hours

  Content periodicity

  Up to Student her-/himself.

•     Administering Windows Server TT00CC52-3007 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  Student has skills to administer Windows Server in productive way.

  Course contents

  Deploy, manage, and maintain servers, Configure File and Print Services, Configure network services and access, Configure a Network Policy Server (NPS) infrastructure, Configure and manage Active Directory, Configure and manage Group Policy

  Assessment criteria

  Satisfactory

  Student is (with help) able to configure and maintain Windows Server including: file and printing services, network services and Network Policy Server

  Good

  Student is able to configure and maintain Windows Server including: file and printing services, network services and Network Policy Server

  Excellent

  Student knows in theory and practice, how to configure and maintain Windows Server including: file and printing services, network services and Network Policy Server

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  01.12.2017 - 30.12.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  NOT for Metropolia's Degree Students.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Administering a SQL Database Infrastructure TT00DD02-3004 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After taking Administering a SQL Database Infrastructure course, which prepares for 70-764 certification, student knows how-to configure data access and auditing, manage backup and restore of databases, manage and monitor SQL Server instances, manage high availability and disaster recovery.

  Course contents

  - Data Access and Auditing
  - Manage Backup and Restore Database;
  - Manage and Monitor SQL Server instances
  - Manage High Availability

  Assessment criteria

  Satisfactory

  Student knows how-to configure data access and auditing, manage backup and restore of databases, manage and monitor SQL Server instances, manage high availability and disaster recovery.with help from senior colleague.

  Good

  Student knows how-to configure data access and auditing, manage backup and restore of databases, manage and monitor SQL Server instances, manage high availability and disaster recovery with good level and work independently.

  Excellent

  Student knows how-to configure data access and auditing, manage backup and restore of databases, manage and monitor SQL Server instances, manage high availability and disaster recovery with excellent level and work independently. He/She also has ability to participate 70-764 certification exam.

  Further information

  Grading: Pass/Fail

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student

  International connections

  N/A

  Students use of time and load

  Up to Student

  Content periodicity

  Up to Student

•     Administering and Deploying System Center 2012 Configuration Manager, 70-243 TT00DC75-3004 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  Get detailed instruction and hands-on practice planning and deploying Microsoft System Center 2012 R2 Configuration Manager and its associated site systems. This course is designed for IT Professionals who are responsible for designing and deploying one or more System Center 2012 R2 Configuration Manager sites and all supporting systems, as well as configuring and managing endpoints in those systems.
  
  You will learn how to plan for the deployment of the central administration site, one or more primary sites and secondary sites, and all associated site systems. You will also learn how to migrate from System Center 2012 Configuration Manager to System Center 2012 R2 Configuration Manager.
  
  This course will provide you with the necessary platform to gain hands on skills in Microsoft System Centre Configuration Manager 2012. By completing the lab tasks you will improve your practical skills in planning and designing System Centre Configuration Manager infrastructure, managing operating system deployment (OSD) deploying application and software updates, managing compliance settings, sites, clients, inventory, reports and queries.
  
  These same tasks will help you understand the objectives and competencies required by the Microsoft 70-243 certification exam.

  Course contents

  Get detailed instruction and hands-on practice planning and deploying Microsoft System Center 2012 R2 Configuration Manager and its associated site systems. This course is designed for IT Professionals who are responsible for designing and deploying one or more System Center 2012 R2 Configuration Manager sites and all supporting systems, as well as configuring and managing endpoints in those systems.
  
  You will learn how to plan for the deployment of the central administration site, one or more primary sites and secondary sites, and all associated site systems. You will also learn how to migrate from System Center 2012 Configuration Manager to System Center 2012 R2 Configuration Manager.
  
  This course will provide you with the necessary platform to gain hands on skills in Microsoft System Centre Configuration Manager 2012. By completing the lab tasks you will improve your practical skills in planning and designing System Centre Configuration Manager infrastructure, managing operating system deployment (OSD) deploying application and software updates, managing compliance settings, sites, clients, inventory, reports and queries.
  
  These same tasks will help you understand the objectives and competencies required by the Microsoft 70-243 certification exam.

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Tapio Wikström

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

•     Administration Essentials for Salesforce TT00CC69-3006 01.01.2020-31.12.2020  8 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, the student is able to:
  • Customize your application, including page layouts, fields, tabs, and business processes;
  • Create a secure Salesforce environment;
  • Maintain and import clean data;
  • Create high-value reports and dashboards;
  • Set up workflow automation.

  Course contents

  Getting Around the App, Understand the data model and navigation, Getting Your Organization Ready for Users, Manage user profiles, Manage record access with the role hierarchy, Work with record types and business processes, Create new reports with the report builder, Automate leads and cases Managing the Support Process.

  Assessment criteria

  Satisfactory

  Student is able to create a working Salesforce environment and maintain it with help from the senior colleague

  Good

  Student maintains Salesforce environment in good level, and can troubleshoot it

  Excellent

  Student maintains Salesforce environment in excellent level, and can work independently.

  Further information

  Virtualcourse

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  e-learning

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 8 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  Course is 100% online and you can enroll and start it whenever is suitable for you. Enrolmets via eform withch you can find in our website: http://www.metropolia.fi/en/degree-programmes/open-studies/technology/virtual-courses/

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  8 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student

  Content periodicity

  Up to Student

•     Advanced Course in Server Technologies TX00DH63-3002 16.03.2020-10.05.2020  5 credits  (TXL16S2, ...) + -
  Learning outcomes of the course

  On completion of the course student knows how to manage Azure subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor different solutions.

  Prerequisites and co-requisites

  Basic understanding of computing, operating systems, and computer networks.

  Course contents

  - Azure Administration
  - Azure Virtual Machines
  - Azure Storage
  - Virtual Networking
  - Monitoring
  - Azure Active Directory
  - Securing Identities
  - Data Services

  Assessment criteria

  Satisfactory

  Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

  Good

  Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • TXL16S2
  • ICT17-N

  Seats

  0 - 30

  Teacher(s)

  Tapio Wikström

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Advanced Powershell TT00EL09-3001 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course, student is able to use powershell's advanced functions and properties.

  Course contents

  - Advanced functions
  - .NET ja REST API & Windows PowerShell
  - Controller Scripts
  - Debugging scripts
  - XML, JSON ja customized data format
  - Analyzing Powershell

  Assessment criteria

  Satisfactory

  Student knows with help how to write and interpret powershell script and he/she knows concept as a whole.

  Good

  Student is able to write and interpret powershell scripts with good level.

  Excellent

  Student is able to write and interpret powershell scripts with excellent leven and is able to apply his/her knowledge.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% Online Self-Study course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2019 - 31.12.2019

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Janne Salonen

  Further information for students

  ENROLMENTS
  
  Open UAS Students via eform: https://elomake.metropolia.fi/lomakkeet/27116/lomake.html
  
  Metropolia's Degree Student
  Go to https://moodle.metropolia.fi/course/view.php?id=1528
  Enrolment key: powerijatko

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  It's up to Student her-/himself.

  Content periodicity

  It's up to Student her-/himself.

•     Advanced Routing TX00DN62-3003 26.08.2019-15.12.2019  5 credits  (ICT17-N) + -
  Learning outcomes of the course

  After completing this course the students can design and implement large routed IP-networks.

  Course contents

  Routing in large enterprise networks. IP-routing, OSPF-routing with multiple areas, ISIS-routing, BGP-routing, IPv6 and other special topics of enterprise networks.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of network technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the network technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT17-N

  Seats

  0 - 40

  Teacher(s)

  Jukka Louhelainen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Advanced Solutions of Microsoft SharePoint Server 2013, remote TT00CU09-3005 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  This course examines how to plan, configure, and manage a Microsoft SharePoint Server 2013 environment.

  Prerequisites and co-requisites

  • Completed Course 70-331
  • Experience managing software in a Windows 2008 R2 enterprise server or Windows Server 2012 environment.

  Course contents

  Special areas of focus include implementing high availability, disaster recovery, service application architecture, Business Connectivity Services, social computing features, productivity and collaboration platforms and features, business intelligence solutions, enterprise content management, web content management infrastructure, solutions, and apps. The course also examines how to optimize the Search experience, how to develop and implement a governance plan, and how to perform an upgrade or migration to SharePoint Server 2013.
  This course will help you understand the objectives and competencies required by the MCSE/MSCM: 70-332 certification.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Sudy) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  NOT for Metropolia's Degree Student.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Advanced Usage of Office Programs TT00CJ90-3006 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course the student is able to use Office products to increase her/his productivity.

  Course contents

  Products to learn:
  - Word
  - Excel
  - Access
  - Powerpoint

  Assessment criteria

  Satisfactory

  User Interface:
  - the student understands every office program's user interface and is able to optimize it with the
  instructor's help;
  
  Basic Functions:
  - the student is able to do basic operations with every office program with the instructor's help;
  
  Advanced functions:
  - the student is able to write simple macro programs and automate operations with office programs with the instructor's help;
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs, with the instructor's help;

  Good

  User Interface:
  - the student understands every office program's user interface and is able to optimize it;
  - the student shows independent solutions.
  
  Basic Functions:
  - the student is able to do basic operations with every office program;
  - the student shows independent solutions.
  
  Advanced functions:
  - the student is able to write relatively complex macro programs and automate operations with office programs;
  - the student shows independent solutions.
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs;
  - the student shows independent solutions.

  Excellent

  User Interface:
  - the student understands every office program's user interface and is able to optimize it;
  - the student shows independent solutions and critical evaluation.
  
  Basic Functions:
  - the student is able to do basic operations with every office program;
  - the student shows independent solutions and critical evaluation.
  
  Advanced functions:
  - the student is able to write relatively complex macro programs and automate operations with office programs;
  - the student shows independent solutions and critical evaluation.
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs;
  - the student shows independent solutions and critical evaluation.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Student have two choices for completion. You can do couple of exercises from each module, and once you have finished, I mark you as completed (I can mark you immediately once you have finished -- please sent an e-mail for me). You can also do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Advanced Usage of Office Programs TT00AC95-3008 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course the student is able to use Office products to increase her/his productivity.

  Course contents

  Products to learn:
  - Word
  - Excel
  - Infopath
  - Access
  - Onenote

  Assessment criteria

  Satisfactory

  User Interface:
  - the student understands every office program's user interface and is able to optimize it with the
  instructor's help;
  
  Basic Functions:
  - the student is able to do basic operations with every office program with the instructor's help;
  
  Advanced functions:
  - the student is able to write simple macro programs and automate operations with office programs with the instructor's help;
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs, with the instructor's help;

  Good

  User Interface:
  - the student understands every office program's user interface and is able to optimize it;
  - the student shows independent solutions.
  
  Basic Functions:
  - the student is able to do basic operations with every office program;
  - the student shows independent solutions.
  
  Advanced functions:
  - the student is able to write relatively complex macro programs and automate operations with office programs;
  - the student shows independent solutions.
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs;
  - the student shows independent solutions.

  Excellent

  User Interface:
  - the student understands every office program's user interface and is able to optimize it;
  - the student shows independent solutions and critical evaluation.
  
  Basic Functions:
  - the student is able to do basic operations with every office program;
  - the student shows independent solutions and critical evaluation.
  
  Advanced functions:
  - the student is able to write relatively complex macro programs and automate operations with office programs;
  - the student shows independent solutions and critical evaluation.
  
  Joint operation with other office programs:
  - the student is able to create office documents which benefit other office programs;
  - the student shows independent solutions and critical evaluation.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  08.10.2019 - 08.10.2019

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Course language is Finnish.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Algorithms in Graph Theory TX00DU27-3001 05.08.2019-09.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  Often we would like to travel from one place to another. If we are by car, then TomTom will help us. If we send a mail, then routers will help us. Algorithms in Graph theory will do the work.
  
  In this course we will look at concepts of Graph Theory to understand the algorithms, so we can apply them in IT.
  • Know and understand the concepts of Graph Theory.
  • Know and understand the Dijkstra, Posa, Bellman-Ford, and Balanced Graph algorithms.
  • Implement these algorithms in IT.

  Prerequisites and co-requisites

  Students must have basic knowledge of programming.

  Course contents

  1 Foundations
  2 Extentsions
  3 Networktraversal
  4 Trees
  5 Social Networks

  Assessment criteria

  Satisfactory

  All exercises will have to be made, the code must be submitted and a small report with explanation should be written and handed in. Approval for all assignments by the teacher will be necessary to obtain the 3 ECTS.

  Good

  -

  Excellent

  -

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  An Introduction to Graph Theory and Complex Networks, by Maarten van Steen 2010

  Planned learning activities and teaching methods

  In each sessions theoretical concepts will be introduced. These concepts will be applied in exercises. The algorithms will be implemented in a program.

  Assessment methods and criteria

  All exercises will have to be made, the code must be submitted and a small report with explanation should be written and handed in. Approval for all assignments by the teacher will be necessary to obtain the 3 ECTS.

  Language of instruction

  English

  Timing

  05.08.2019 - 09.08.2019

  Enrollment date

  02.05.2019 - 04.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Antti Piironen, Koos van Tubergen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Content periodicity

  Session 1: Foundations Chapter 2: not paragraph 2.1.2, 2.2.2, 2.3 ( only page 2-22 until 2-28 )
  Exercises page 195 : 7, 8
  LAB exercise: make a program, that can store and print a graph
  
  Session 2: Extensions
  Chapter 3: not paragraph 3.1.2 ( only page 3-9 until 3-11 )
  Exercises page B-12: 3, 4, 5, 6
  LAB exercise: implement the Dijkstra algorithm at page 3-14
  
  Session 3: Network traversal
  Chapter 4: not paragraph 4.2.3
  Exercises page 197: 15, 17
  Page 50: 1a, b
  LAB exercise: implement the Posa algorithm at page 4-21
  
  Session 4: Trees Chapter 5: not 5.4.3
  Exercises page 214: 5
  page 215: 9, 10, 11, 12
  LAB exercise: implement the Bellman-Ford algorithm at paragraph 5.4.2
  
  Session 5: Social Networks Chapter 9: only paragraph 9.1.1, 9.1.2, 9.2.2
  Exercise 14 exam 2019
  LAB exercise: implement the Balanced graphs algorithm at page 9-23

•     Amazon Web Services TX00DH59-3002 13.01.2020-10.05.2020  5 credits  (TXL16S2, ...) + -
  Learning outcomes of the course

  AWS – Cloud Computing Architecture is an AWS Academy curriculum designed to help students develop technical expertise in cloud computing and prepare them for the AWS Certified Solutions Architect – Associate certification exam.
  Upon a successful completion of the course, participants will know the value, benefits of cloud computing, the financial advantages on AWS, the core components and services of cloud computing on AWS, scaling infrastructure on AWS, Cloud migration as well as high availability and business continuity.

  Prerequisites and co-requisites

  Virtualization and Cloud Computing or VMware Install, Configure, Management or equivalent knowledge about virtualization

  Course contents

  Introduction Cloud Computing Architure and AWS
  AWS core infrastructure components, services and Management tools
  Designing highly available environment on AWS
  Automation and decoupling your Infrastructure
  Well-Architured Pillars
  Troubleshooting

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work
  situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TXL16S2
  • TIVI-ELECT4

  Seats

  0 - 50

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Android Programming TX00CR64-3006 21.10.2019-15.12.2019  5 credits  (TIVI-ELECT, ...) + -
  Learning outcomes of the course

  On completion of the course the student has knowledge of the Android platform architecture and the most relevant mechanisms employed in the application development. The student has the needed know-how to implement interactive applications as well as services utilizing standard design patterns.
  The student knows how to integrate location information and sensor data with the application.

  Prerequisites and co-requisites

  Java-ohjelmointitaidot (not translated)

  Course contents

  - Application components and resources
  - User interface structure and event handling, customizing and combining user interface elements
  - Adapters and adapter views, menu structures
  - Persisting data, file IO, database
  - Network operations and threads
  - Services, content providers and broadcast events
  - Widgets
  - Location information and sensor data

  Further information

  Tieto- ja viestintätekniikan tutkinto-ohjelman valinnainen opintojakso. (not translated)

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TIVI-ELECT
  • TVT17K-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Android Programming TX00CR64-3007 16.03.2020-10.05.2020  5 credits  (TVT17-O) + -
  Learning outcomes of the course

  On completion of the course the student has knowledge of the Android platform architecture and the most relevant mechanisms employed in the application development. The student has the needed know-how to implement interactive applications as well as services utilizing standard design patterns.
  The student knows how to integrate location information and sensor data with the application.

  Prerequisites and co-requisites

  Java-ohjelmointitaidot (not translated)

  Course contents

  - Application components and resources
  - User interface structure and event handling, customizing and combining user interface elements
  - Adapters and adapter views, menu structures
  - Persisting data, file IO, database
  - Network operations and threads
  - Services, content providers and broadcast events
  - Widgets
  - Location information and sensor data

  Further information

  Tieto- ja viestintätekniikan tutkinto-ohjelman valinnainen opintojakso. (not translated)

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • TVT17-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Applied Anatomy and Physiology TX00CG23-3007 26.08.2019-13.10.2019  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student knows phenomena measured from human body and their utilization opportunities, understands interaction between a human body and functionality behind measurement results, and applies learned knowledge.

  Course contents

  • Basic structure and functions of musculoskeletal system
  • Structure and functions of cardiovascular system
  • Structure and functions of respiratory system
  • Basic functions of nervous system and sensory system
  • Practical measurements and analysis

  Assessment criteria

  Satisfactory

  Student has basic knowledge of phenomena measured from a human body and measurement utilization opportunities, and uses learned knowledge.

  Good

  Student knows phenomena measured from a human body and measurement utilization opportunities, and applies learned knowledge.

  Excellent

  Student thoroughly knows phenomena measured from a human body and measurement utilization opportunities, and applies learned knowledge in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  Sand, O. ym.: Ihminen Fysiologia ja anatomia. WSOYpro or Bjålie, J.G. ym.: Ihminen Fysiologia ja anatomia. WSOY or Leppäluoto J. ym: Anatomia ja fysiologia. Rakenteesta toimintaan. WSOYpro. or Nienstedt, W. ym. Ihmisen fysiologia ja anatomia. WSOY

  Planned learning activities and teaching methods

  Interactive lecture
  Guided assigments
  Laboratory work

  Assessment methods and criteria

  Exam
  Reports

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Anu Valtonen, Pirkko-Leena Kuosa, Mikko Harju

  Further information for students

  N/A

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Exam schedule

  Exam 22.10.2019

  Students use of time and load

  N/A

•     Applied Web Application Security: Attacks and Defense TX00CR92-3004 24.02.2020-15.05.2020  6 credits  (TIVI-ELECT4) + -
  Learning outcomes of the course

  The course focuses on threats to the WEB applications and the clients of the WEB applications. Most important attack vectors, as described by OWASP TOP-10, are considered. Attack vector combinations are considered and their combined impact to security is exposed. Special emphasis will be set on practical security protection methods.
  The process of WEB application penetration testing will be based on relevant standards e.g.: the Penetration Testing Execution Standard.
  
  Upon completing the course student is able to:
  - be aware of the most severe WEP application attacks occurring daily world-wide (OWASP TOP-10)
  - evaluate the impact of organizational risks associated with different WEB application threads
  - use the Penetration Testing Execution Standard as a guideline to create organized and well documented WEB application testing procedure
  - apply techniques and tools to test practical WEB application security level
  - repair practical WEB application security vulnerabilities revealed by penetration testing

  Course contents

  Chapter 1: Introduction to WEB Application Security
  Chapter 2: WEB Application Technologies and Frameworks
  Chapter 3: WEB Application Defense Mechanisms
  Chapter 4: Mapping the Application
  Chapter 5: By-passing Client Side Controls
  Chapter 6: Attacking Authentication
  Chapter 7: Attacking Session Management
  Chapter 8: Attacking Access Controls
  Chapter 9: Injecting code
  Chapter 10: Attacking Other Users
  Chapter 11: Other Exploitation Methods
  Chapter 12: Web Application Security Tools
  Chapter 13: Penetration Testing Standards

  Assessment criteria

  Satisfactory

  Students have achieved the required course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles required for development

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  24.02.2020 - 15.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 6 credits

  Group(s)

  • TIVI-ELECT4

  Teacher(s)

  Kimmo Sauren

  Further information for students

  Online course. Course starts on 24 Feb and ends on 15 May.

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Virtual proportion

  6 credits

  Evaluation scale

  0-5

•     Bachelor's Thesis TX00BZ75-3016 01.01.2020-31.12.2020  15 credits  (TXK16S1E, ...) + -
  Learning outcomes of the course

  The objective of the Bachelor’s Thesis is for the student to demonstrate and develop the ability of applying professional skills and knowledge to a practical development assignment or project relevant to the profession and the working life.
  In Metropolia’s Bachelor’s Thesis the student learns and carries out development work, which is based on researched knowledge and other evidence and which concerns the development of professional competences or practices.
  On completion of the Bachelor’s Thesis the student will be able to
  • identify questions and needs for development in the professional field and the working life and to plan for their solutions
  • use reliable and confined information from various sources in the development work
  • apply professional skills and knowledge and use appropriate methods for the development task
  • execute a development project useful for the working life or the profession in an independent,
  responsible and collaborative manner
  • communicate in different stages of the work both to peers and to other audiences in a clear, well argumented and illustrative manner
  • report the results of the work, to assess them and to bring forth proposals for improvement in an appropriate way both in writing and in speech as well as visually.

  Course contents

  Content
  - ideation, planning work
  - applying theory into practice
  - argumentation, justifying your own ideas
  - methods
  - reflection
  - problem solving
  - writing skills, giving technical presentations
  - maturity test

  Assessment criteria

  Satisfactory

  Thesis planning and work:
  - The student can follow the plan and schedule when being guided.
  Use of theory and appropriate methods:
  - The student can find knowledge of his or her own field to build the theory background for the study, but needs guiding in doing so.
  - The student needs guiding to select the appropriate methods to reach the goals of the work.
  Gaining results and their significance:
  - The student reaches some of the goals of the work and they are to some extent relevant to the professional field.
  Usability and feedback from the client:
  - The student reaches results which are partially usable by the client.
  Conclusions, critical evaluation:
  - The student can make some conclusions from the results of the work.
  Written report and oral presentation:
  - The student can prepare an understandable thesis report using the language guidelines, layout template and instructions.
  - The student can present the work orally and communicate in an appropriate way in the presentation.

  Good

  Thesis planning and work:
  - The student can create the plan and schedule and follow it through.
  Use of theory and appropriate methods:
  - The student can find knowledge of his or her own field to build the theory background for the study.
  - The student can select the appropriate methods to reach the goals of the work independently and can justify them.
  Gaining results and their significance:
  - The student reaches the main goals of the work and they are relevant to the professional field.
  Usability and feedback from the client:
  - The student reaches results which are usable by the client.
  Conclusions, critical evaluation:
  - The student can make correct and justified conclusions from the results of the work and can reflect on them critically.
  Written report and oral presentation:
  - The student can prepare a thesis report with an appropriate content and style of presentation. The student can focus the presentation to the reader and its context and can write fluently using the language guidelines. The student can structure the report clearly and logically.
  - In the oral presentation the student can communicate in appropriate way and illustrate the speech in multiple ways.

  Excellent

  Thesis planning and work:
  - The student can create the plan and schedule and follow it independently.
  Use of theory and appropriate methods:
  - The student structures the theory to support practise. The student uses multiple new sources of information.
  - The student can select the appropriate methods to reach the goals of the work and can justify them in a convincing way.
  Gaining results and their significance:
  - The student reaches the goals of the work. The student has solved a significant technical problem or produced new, significant information to the professional field.
  Usability and feedback from the client:
  - The student reaches results which are widely usable by the client.
  Conclusions, critical evaluation:
  - The student can make correct and justified conclusions from the results of the work and can reflect on them critically. The conclusions show the writer's own, new and interesting approach to the professional field.
  Written report and oral presentation:
  - The student can prepare a professional, fully finalised thesis report with an appropriate style of presentation. The student writes as a professional of the field in an illustrative and interesting way. The student can structure the report in an innovative and clear way.
  - In the oral presentation the student can communicate as an expert of the field in an illustrative, interesting way using visual presentation tools.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2018 - 02.12.2018

  • 15 credits

  Group(s)

  • TXK16S1E
  • TXK17S1E

  Teacher(s)

  Antti Laiho, Peter Hjort, Ulla Paatola, Ilkka Kylmäniemi, Erik Pätynen, Anne Perälampi, Aarne Klemetti, Kimmo Sauren, Keijo Länsikunnas, Marko Uusitalo, Jussi Alhorinne, Merja Bauters, Marjo-Riitta Näyhö, Vesa Ollikainen, Jarkko Vuori, Taru Sotavalta, Sami Sainio, Antti Piironen, Patrick Ausderau, Ulla Sederlöf, Petri Vesikivi, Sakari Lukkarinen, Juha Kopu, Joseph Hotchkiss, Miikka Mäki-Uuro, Kari Aaltonen, Heini Puuska, Tapio Wikström, Kari Salo, Toni Spännäri, Hannu Markkanen, Olli Hämäläinen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  R&D proportion

  15 credits

  Evaluation scale

  0-5

•     Basic Concepts of Web Technology TX00CD47-3005 21.10.2019-15.12.2019  15 credits  (ICT18-M) + -
  Learning outcomes of the course

  This course will provide understanding of how web technologies and databases can be used in building backend and mobile front end services.

  Prerequisites and co-requisites

  N/A

  Course contents

  • Java EE basics or Node.js basics
  • Database design and management
  • Usability concepts
  • Front end development

  Assessment criteria

  Satisfactory

  Capability to develop basic web service including back end and front end components.

  Good

  Good understanding of relevant web technologies and capability to apply them in developing web service including back end and front end components. Understanding of basic usability criteria in UI and interaction logic.

  Excellent

  Very good understanding of relevant web technologies and capability to apply them in developing web service including back end and front end components. Application of basic usability criteria in UI and interaction logic.

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  * Teaching slides and taking notes during lectures
  * WWW
  * Math: Schaum's Outline of Discrete Mathematics, Third Edition – Alas
  https://alas.matf.bg.ac.rs/~mi10164/Materijali/DS.pdf

  Planned learning activities and teaching methods

  * Lectures and lab/exercises
  * Project (small team)

  Assessment methods and criteria

  * Math (3ECTS, 20% of final grade):
  - Assignments
  - Project
  * Personal participation (60% of 12ECTS):
  - 4-5 weekly assignments.
  * Web application project (40% of 12ECTS):
  - Teamwork (no individual work!) of 2 or 3 students
  - Idea 5%, UI (for right target group) 25%, working app and code 45%, presentation 10%, documentation 10%, team management 5%.
  - Peer and self review, multiply the total

  Language of instruction

  English

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • ICT18-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Patrick Ausderau, Ulla Sederlöf, Jaakko Pitkänen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Exam schedule

  Final presentations on 11.12 from 12:00 to 15:00

  Students use of time and load

  Weeks 1-5: Lectures/Labs
  Weeks 5-8: Projects (Web app and Math)

  Content periodicity

  (Might be adapted)
  Week 1: ECMAScript, html/css recap, responsive design, relational database recap, set theory
  Week 2: Server install, database design, set theory, relations, visualization and graph
  Week 3: NodeJS, temporal databases, team management tools, proportional claculus
  Week 4: NodeJS, database continued, Advanced CSS, statistics and data visualization, Project ideation
  Week 5: Web app project, R studio project, Security
  Week 6-7: Project
  Week 8: Project and final presentation

  Assessment criteria

  Any combination of the following:
  * fail math exams/assignments
  * show less than 3 weekly technical assignments (or if not completed, not working, poor code quality,...)
  * web app project under 35%

  Satisfactory

  * pass math assignments/exams with satisfactory grade
  * pass at least 3 weekly assignments with satisfactory code quality
  * web app project over 35%

  Good

  * pass math assignments/exams with good grade
  * pass at least 4 weekly assignments with good code quality
  * web app project over 60%

  Excellent

  * pass math assignments/exams with excellent grade
  * pass all weekly assignments with excellent code quality
  * web app project over 85%

•     Basic Concepts of Web Technology TX00CD47-3007 16.03.2020-10.05.2020  15 credits  (ICT19K-M) + -
  Learning outcomes of the course

  This course will provide understanding of how web technologies and databases can be used in building backend and mobile front end services.

  Prerequisites and co-requisites

  N/A

  Course contents

  • Java EE basics or Node.js basics
  • Database design and management
  • Usability concepts
  • Front end development

  Assessment criteria

  Satisfactory

  Capability to develop basic web service including back end and front end components.

  Good

  Good understanding of relevant web technologies and capability to apply them in developing web service including back end and front end components. Understanding of basic usability criteria in UI and interaction logic.

  Excellent

  Very good understanding of relevant web technologies and capability to apply them in developing web service including back end and front end components. Application of basic usability criteria in UI and interaction logic.

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  * Teaching slides and taking notes during lectures
  * WWW
  * Math: Schaum's Outline of Discrete Mathematics, Third Edition – Alas
  https://alas.matf.bg.ac.rs/~mi10164/Materijali/DS.pdf

  Planned learning activities and teaching methods

  * Lectures and lab/exercises
  * Project (small team)

  Assessment methods and criteria

  * Math (3ECTS, 20% of final grade):
  - Assignments
  - Project
  * Personal participation (60% of 12ECTS):
  - 4-5 weekly assignments.
  * Web application project (40% of 12ECTS):
  - Teamwork (no individual work!) of 2 or 3 students
  - Idea 5%, UI (for right target group) 25%, working app and code 45%, presentation 10%, documentation 10%, team management 5%.
  - Peer and self review, multiply the total

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • ICT19K-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Patrick Ausderau, Ulla Sederlöf, Aarne Klemetti, Jaakko Pitkänen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Exam schedule

  Final presentations on 06.05.2020 13.00 - 16.00 (to be confirmed)

  Students use of time and load

  Weeks 1-5: Lectures/Labs
  Weeks 5-8: Projects (Web app and Math)

  Content periodicity

  (Might be adapted)
  Week 1: ECMAScript, html/css recap, responsive design, relational database recap, set theory
  Week 2: Server install, database design, set theory, relations, visualization and graph
  Week 3: NodeJS, temporal databases, team management tools, proportional claculus
  Week 4: NodeJS, database continued, Advanced CSS, statistics and data visualization, Project ideation
  Week 5: Web app project, R studio project, Security
  Week 6-7: Project
  Week 8: Project and final presentation

  Assessment criteria

  Any combination of the following:
  * fail math exams/assignments
  * show less than 3 weekly technical assignments (or if not completed, not working, poor code quality,...)
  * web app project under 35%

  Satisfactory

  * pass math assignments/exams with satisfactory grade
  * pass at least 3 weekly assignments with satisfactory code quality
  * web app project over 35%

  Good

  * pass math assignments/exams with good grade
  * pass at least 4 weekly assignments with good code quality
  * web app project over 60%

  Excellent

  * pass math assignments/exams with excellent grade
  * pass all weekly assignments with excellent code quality
  * web app project over 85%

•     Basic Network Analyzing with Wireshark TT00DC88-3004 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Course is designed to confirm individual competencies in using Wireshark to locate the cause of network problems (poor performance or security-
  related) and confirm your knowledge of TCP /IP network communications in general. Course prepares for WCNA Certification.

  Course contents

  - Wireshark functionality
  - TCP/IP network communications
  - Network troubleshooting
  - Network security

  Assessment criteria

  Satisfactory

  Student knows basics of network analyzing and is able to use Wireshark to analyze and detect network problems with assistance;

  Good

  Student knows very well network analyzing principles, and is able to use Wireshark to detect, analyze and problem-solve network problems;

  Excellent

  Student has excellent abilities to analyze network problems, and detect faults and do efficient troubleshooting, and able to take WCNA-certification's exam.

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Sudy) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  NOT for Metropolia's Degree Students.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Basics of Information Security TT00EL92-3001 27.05.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, the student has basic knowledge of information security and what is the meaning of information security for the companies. He or she knows the basic concepts and how basic security mechanisms work. He or she knows different cryptographic methods from the past to now.

  Prerequisites and co-requisites

  Introduction to Computing,
  Setting Up and Usage of Personal Computer (PC)

  Course contents

  - basic concepts of information security
  - company's Information Security Policy & Information Security Plan
  - different vulnerabilities, how to find them and how to protect
  - application security
  - safe use of computers
  - server security (backups, fault tolerance)
  - authentication
  - network security
  - basics of cryptography, historical view, modern crpyptographic methods, symmetric & asymmetric methods, passwords, digital signatures

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in study environment.

  Planned learning activities and teaching methods

  100% Online (Self-Study) course in Moodle environment

  Language of instruction

  Tuition in Finnish

  Timing

  27.05.2020 - 31.12.2020

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student
  - Go to https://moodle.metropolia.fi/course/view.php?id=1207
  - Enrolment key: turva
  - Follow instructions
  If you have problems with this course, please contact to Janne Salonen.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Can be find in study environment.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Basics of Information Security XX00AA89-3025 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, the student has basic knowledge of information security and what is the meaning of information security for the companies. He or she knows the basic concepts and how basic security mechanisms work. He or she knows different cryptographic methods from the past to now.

  Prerequisites and co-requisites

  Introduction to Computing,
  Setting Up and Usage of Personal Computer (PC)

  Course contents

  - basic concepts of information security
  - company's Information Security Policy & Information Security Plan
  - different vulnerabilities, how to find them and how to protect
  - application security
  - safe use of computers
  - server security (backups, fault tolerance)
  - authentication
  - network security
  - basics of cryptography, historical view, modern crpyptographic methods, symmetric & asymmetric methods, passwords, digital signatures

  Assessment criteria

  Satisfactory

  The student knows the basic concepts of information security and what it means to companies. He/she also knows elementary threats to the information systems. He or she knows different vulnerabilities for companys database. He or she understand different user levels and why they are needed.

  Good

  The student understands application security as well as users point of view as programmes. He or she knows different backup methods and RAID-levels. He or she recognizes vulnerabilites from network, He or she knows different cryptographic methods and could estimate how strong the are.

  Excellent

  The student knows solutions for applications security. He or she knows ho different cryptographic methods are working and how to make digital signatures. He or she can estimate how different vulnerabilities affects companys database and he or she can tell solutions how to protect them.

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student
  - Go to https://moodle.metropolia.fi/course/view.php?id=159
  - Enrolment key: saksanhirvi
  - Follow instructions
  If you have problems with this course, please contact to Janne Salonen.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

•     Basics of Virtualization and Cloud Computing TX00DH60-3002 26.08.2019-13.10.2019  5 credits  (TXL16S2) + -
  Learning outcomes of the course

  After completing the course studetn know different virtualization technologies and applications. The student can design, implement and test simple open source based virtual server system and choose the suitable virtualization technologies for the services.

  Prerequisites and co-requisites

  Student can install and administer Linux-servers and IP-networks.

  Course contents

  Benefits and challenges of virtualization
  Implementation of virtualization: full scale virtualization, paravirtualization and containers
  Benefits of virtualization in SMBs
  Seminar presentations about virtualization

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TXL16S2

  Seats

  0 - 30

  Teacher(s)

  Marko Uusitalo

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Big Data and Data Mining TX00CK73-3007 26.08.2019-13.10.2019  5 credits  (TVT17-O) + -
  Learning outcomes of the course

  Upon completion of the course the students have understanding of the capabilities of big data and data science methods, especially data mining. The participants have got hands-on experience in storage, retrieval, processing as well as data mining analysis methods and tools.

  Prerequisites and co-requisites

  No formal requirements. Data management and mathematics skills will be helpful in acquiring the contents of the course.
  The course on Probalility Calculus and Statistics supports this course.

  Course contents

  - Big Data in ICT business: applicability, opportunities, models and processes, legal and ethical constraints.
  - Acquisition and preprocessing of data.
  - Data management solutions.
  - The approaches for data mining (classification, association analysis, clustering, predicting numerical values) as well as their fields of applicability and usage
  - Data mining software.
  - Validation and visualisation of the results.
  - Text mining and web mining.

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kopu, Vesa Ollikainen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Big Data and Data Mining TX00CK73-3008 13.01.2020-15.03.2020  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  Upon completion of the course the students have understanding of the capabilities of big data and data science methods, especially data mining. The participants have got hands-on experience in storage, retrieval, processing as well as data mining analysis methods and tools.

  Prerequisites and co-requisites

  No formal requirements. Data management and mathematics skills will be helpful in acquiring the contents of the course.
  The course on Probalility Calculus and Statistics supports this course.

  Course contents

  - Big Data in ICT business: applicability, opportunities, models and processes, legal and ethical constraints.
  - Acquisition and preprocessing of data.
  - Data management solutions.
  - The approaches for data mining (classification, association analysis, clustering, predicting numerical values) as well as their fields of applicability and usage
  - Data mining software.
  - Validation and visualisation of the results.
  - Text mining and web mining.

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 45

  Teacher(s)

  Juha Kopu, Vesa Ollikainen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Biomechanics and Motion Measurement TX00CG24-3007 26.08.2019-13.10.2019  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student understands the key role of physics in describing the behavior of the human body, and is able to model forces incident on bones and muscles in various situations involving strain and motion, becomes acquainted with equipment specialized to measuring and analyzing different parameters relevant to human motion, and applies learned knowledge.

  Course contents

  ? Statics and equilibrium
  ? Rigid body dynamics
  ? Equipment for motion measurement
  ? Principles of motion analysis
  ? Senses and motion

  Assessment criteria

  Satisfactory

  Student recognizes the most essential concepts introduced during the course, and is able to handle simple computational and experimental problems.

  Good

  Student understands the relevant physical principles introduced during the course, and is able to solve problems requiring advanced computational skills, is capable of performing both the measurements and their subsequent analysis in a careful and accurate manner.

  Excellent

  Student understands the relevant physical principles introduced during the course, and is able to solve problems requiring advanced computational skills, is capable of performing both the measurements and their subsequent analysis in a careful and accurate manner, recognizes connections between various subjects, is able to utilize this understanding to solving advanced problems, and shows initiative in performing measurements, analyzing them, and handling challenging situations.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Anu Valtonen, Juha Kopu, Pekka Anttila

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Blockchain and Cryptocurrency fundamentals TT00DU86-3001 01.08.2019-31.12.2020  5 credits  (ATX20TV, ...) + -
  Learning outcomes of the course

  A comprehensive course to learn about Blockchain and Cryptocurrency. The students first will get introduced about the idea behind blockchain architecture, and how such a concept can be beneficial and practical, the challenges along the way, and how to tackle them. Then they will get familiar with cryptocurrency, an example of one of the applications of blockchain, and how they can purchase and store them.
  This course is 100% virtual thanks to the comprehensive content made for this course.
  The student will pass this course after submitting required assignments, quizzes, projects, and essays.

  Course contents

  Software Architecture of the Blockchain - Peer-to-Peer Systems (P2P) - The importance and use cases - Ownership - Hashing - Cryptography - Transactions - Blocks - Mining, Verifying and Rewards - Limitations

  Assessment criteria

  Satisfactory

  Evaluation criteria - satisfactory (1-2)
  - The students understand the concept of blockchain.
  - The student has a general understanding over the advantageous of blockchain and can briefly explain them.
  - The students understand the application of cryptocurrency.

  Good

  - The student is familiar with the limitations of blockchain systems.
  - The student understands blocks, transactions and how they work and keep blockchain alive.

  Excellent

  - The student can fully demonstrate the processes of mining and reward systems in blockchain.
  - The students know how to purchase and store cryptocurrencies.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  - Tutorial Videos
  - Assignments
  - Quizzes
  - Project
  - Essay
  - Self-study

  Assessment methods and criteria

  Assignments 35%
  Quiz 15%
  Project 35%
  Essay 15%

  Language of instruction

  English

  Timing

  01.08.2019 - 31.12.2020

  Enrollment date

  02.07.2019 - 31.07.2019

  • 5 credits

  Group(s)

  • ATX20TV
  • ATX19TVH

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  This course is only for Open UAS Students.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Content = 40h
  Assignments = 20h
  Self-study and research = 20h
  Quizzes = 3+3h
  Project = 10+10h
  Essay = 5+5h
  Total = 116 hours

  Content periodicity

  Up to Student her-/himself.

•     C - Programming TT00CB05-3007 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Understanding procedural programming.
  Ability to implement interactive programs using different control structures. Ability to divide the program into sub programs and to use parameters. Ability to use array data structure.

  Course contents

  Elements of a program (C): variables, constants, types, expressions, arrays, control structures, input and output, sub programs and parameters.

  Assessment criteria

  Satisfactory

  Pointers and data structures (arrays, structs, linked lists)
  - The student is able to reference basic data structures using pointers (especially parameters).
  - The student understands what linked data structures are.
  Data streams and files
  - The student understands the purpose of files and data streams.
  Dynamic memory allocation
  - The student understands the differences between static, automatic and dynamic memory allocation.
  C standard library
  - The student is able to interpret the function declarations in standard library documentation.

  Good

  Pointers and data structures (arrays, structs, linked lists):
  - The student is able to declare a self referential pointer.
  - The student is able to describe the operations and parameters of linked structures.
  Data streams and files:
  - The student is able to write programs, which read and write files.
  Dynamic memory allocation:
  - The student knows how to allocate and free memory dynamically.
  C standard library:
  - The student is able to use C standard library.

  Excellent

  Pointers and data structures (arrays, structs, linked lists):
  - The student is able to understand the stucture, control flow and purpose of any program, which is written using pointers.
  - The student is able to describe the operations of a queue and a stack.
  Data streams and files:
  - The student is able to write programs which update files.
  Dynamic memory allocation:
  - The student is able to implement a queue and a stack using dynamic memory allocation.
  C standard library:
  - The student is able to explain and teach other people how to use C standard library.

  Further information

  Online course

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Pass, after Student have done 80% or more of the course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop)
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     C - Programming TT00VI06-3009 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Understanding procedural programming.
  
  Ability to implement interactive programs using different control structures. Ability to divide the program into sub programs and to use parameters. Ability to use array data structure.

  Course contents

  Elements of a program (C): variables, constants, types, expressions, arrays, control structures, input and output, sub programs and parameters.

  Assessment criteria

  Satisfactory

  Pointers and data structures (arrays, structs, linked lists)
  - The student is able to reference basic data structures using pointers (especially parameters).
  - The student understands what linked data structures are.
  
  Data streams and files
  - The student understands the purpose of files and data streams.
  
  Dynamic memory allocation
  - The student understands the differences between static, automatic and dynamic memory allocation.
  
  C standard library
  - The student is able to interpret the function declarations in standard library documentation.

  Good

  Pointers and data structures (arrays, structs, linked lists):
  - The student is able to declare a self referential pointer.
  - The student is able to describe the operations and parameters of linked structures.
  
  Data streams and files:
  - The student is able to write programs, which read and write files.
  
  Dynamic memory allocation:
  - The student knows how to allocate and free memory dynamically.
  
  C standard library:
  - The student is able to use C standard library.

  Excellent

  Pointers and data structures (arrays, structs, linked lists):
  - The student is able to understand the stucture, control flow and purpose of any program, which is written using pointers.
  - The student is able to describe the operations of a queue and a stack.
  
  Data streams and files:
  - The student is able to write programs which update files.
  
  Dynamic memory allocation:
  - The student is able to implement a queue and a stack using dynamic memory allocation.
  
  C standard library:
  - The student is able to explain and teach other people how to use C standard library.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in Metropolia's Viope environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Pass, after Student have done 80% or more of the course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop)
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     C Programming for Smart Systems TX00CT12-3003 26.08.2019-13.10.2019  5 credits  (ICT18-S) + -
  Learning outcomes of the course

  On completion of the course the student understands principles of procedural programming. He or she is familiar with the ANSI C programming language and knows the control structures, data types and important standard functions. Additionally the student understands the fundamentals of software development in embedded environment and he or she is able to design and debug a program for embedded platform.

  Prerequisites and co-requisites

  Devices course or equivalent knowledge in digital systems, hardware and programming fundamentals.

  Course contents

  - C language fundamentals
  - Application development using C
  - Principles and process of software development
  - Modular organization of programs
  - Structured algorithms and structured data
  - Development environments in programming
  - Debugging
  - Software development and testing in embedded systems

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.06.2019 - 04.08.2019

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 40

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     C# Programming Fundamentals TT00AC49-3009 01.01.2020-31.12.2020  4 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course the student understands the basics of the .NET-architecture. She/he will also be able to understand, write and debug simple C# programs.

  Course contents

  Introduction to C#, basic structure of a program, datatypes, operators, conditioal statements, exceptions, loops, arrays, basics of object-oriented programming, polymorfism in object-oriented programming, string handling, file handling

  Assessment criteria

  Satisfactory

  Algorithms and control structures:
  - the student understands what the different control structures are and knows what kind of a structure can be used in different situations;
  - the student can explain a simple program structure;
  
  Variables, constants and data types:
  - the student understands what variables, constants and data types are;
  
  Subroutines:
  - the student understands what subroutine is, is able to name it and call it from the main program;

  Good

  Algorithms and control structures:
  - the student understands what the different control structures are and knows what kind of a structure can be used in different situations;
  - the student can explain a relatively complex program structure;
  - the student shows independent solutions.
  
  Variables, constants and data types:
  - the student understands what variables, constants and data types are;
  - the student shows independent solutions.
  
  Subroutines:
  - the student understands what subroutine is, is able to name it and call it from the main program;
  - the student is able to write relatively complex subroutines with elegant solutions;
  - the student shows independent solutions.

  Excellent

  Algorithms and control structures:
  - the student understands what the different control structures are and knows what kind of a structure can be used in different situations;
  - the student can explain a relatively complex program structure;
  - the student shows independent solutions and critical evaluation.
  
  Variables, constants and data types:
  - the student understands what variables, constants and data types are;
  - the student shows independent solutions and critical evaluation.
  
  Subroutines:
  - the student understands what subroutine is and is able to name it and call it from the main program;
  - the student is able to write relatively complex subroutines with elegant solutions;
  - the student shows independent solutions and critical evaluation.

  Further information

  K (not translated)

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in Metropolia's Viope environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Pass, after Student have done 80% or more of the course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 4 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop).
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  4 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     C# Programming Fundamentals TT00EL89-3001 15.06.2020-30.06.2020  3 credits + -
  Learning outcomes of the course

  After completing the course the student understands the basics of the .NET-architecture. She/he will also be able to understand, write and debug simple C# programs.

  Course contents

  Introduction to C#, basic structure of a program, datatypes, operators, conditioal statements, exceptions, loops, arrays, basics of object-oriented programming, polymorfism in object-oriented programming, string handling, file handling

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online

  Language of instruction

  Tuition in Finnish

  Timing

  15.06.2020 - 30.06.2020

  Enrollment date

  14.04.2020 - 14.04.2020

  • 3 credits

  Seats

  0 - 150

  Teacher(s)

  Janne Salonen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

•     C++ Programming TT00CB04-3007 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  The student is familiar with C++ language and its specific features in object-oriented programming. The student knows how to define a class, instantiate it and write code, in which the objets created are used. The student knows how to make objects interact with each other, how to use inheritance and how to use dynamic binding.
  The student knows how to define and use generic functions and classes as well as operator functions

  Course contents

  - automatic and dynamic creation of an object,
  - constructors and destructors,
  - inheritance, associations, aggregation,
  - function overloading,
  - virtual functions and dynamic binding,
  - various parameter types,
  - copy constructor,
  - operator overloading,
  - generic classes and functions,
  - standard class library.

  Assessment criteria

  Satisfactory

  After completing this course the student will
  - understand the difference between a class and an object and knows how to use straightforward pre-coded classes in a software application
  - understands why classes are generally speaking necessary and how they are used (the importance of differentiating between implementation and user interface)
  - is able to design and use simple classes
  - understands the goal of making classes to be applicable for multiple purposes
  - understands how the vector class model operates and knows how to correctly use it instead of a C language array

  Good

  After completing this course the student will
  - understand the benefits and disadvantages of dynamic memory management when designing and using objects
  - when designing classes understand and be prepared for the challenges brought by any dynamic data members (need for a destructor, need for a copy constructor, need for an assignment operator etc.)
  - knows how to select a suitable class relation type (inheritance, association, aggregation) according to the situation when using an existing class to implement a new class
  - also knows how to implement a new class using the class relation types mentioned above
  - understands the implementation differences between various STL container class models thus being able to select a suitable model based on the requirements of the current application

  Excellent

  After completing this course the student will
  - deeply understand the meaning of function models and class models and how these operate on the compiler level
  - knows when designing classes how to be prepared for eventual memory leaks and knows how to prevent these leaks in all situations (exceptional situations included)
  - is able to very expertly use pointers, not just by trial and error (defining a pointer, indirect referencing, using references)

  Further information

  Online course

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 02.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop)
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  0-5

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     C++ Programming, Advanced TX00CR53-3005 16.03.2020-10.05.2020  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  Student gets familiar with modern C++ features. She knows how to profile and optimize code, and can apply both static and dynamic analysis to her programs. She is able to use various build and test tools, and can utilize third party libraries. She is able to implement object-oriented design patterns in C++.

  Prerequisites and co-requisites

  Object-oriented programming (C++).

  Assessment criteria

  Satisfactory

  Student has reasonable command of C++ language and its tools. She knows how to profile her code and make simple optimizations accordingly. She is familiar with the most important design patterns.

  Good

  Student has good command of C++ language and its tools. She knows how to profile her code and make simple optimizations accordingly. She is able to implement some design patterns.

  Excellent

  Student has excellent command of C++ language and its tools. She knows how to profile and optimize her code, and is able to implement design patterns.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     C++ Project TX00DO53-3002 13.01.2020-15.03.2020  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student learns to implement complex C++ project in phases. He gets familiar with basic software modeling techniques and design patterns.

  Course contents

  • C++
  • Software modelling, UML
  • Object-oriented programming

  Assessment criteria

  Satisfactory

  • Student is able to implement simple software components
  • Student is able to interpret UML class models

  Good

  • Student is able to implement complex software components according to specifications
  • Student is able to create and interpret UML class models

  Excellent

  • Student is able to design and implement complex software systems
  • Student is able to create and interprete UML class models

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 42

  Teacher(s)

  Heini Puuska

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     C/C++ Programming TX00CR60-3006 26.08.2019-13.10.2019  5 credits  (TIVI-ELECT, ...) + -
  Learning outcomes of the course

  Student will learn C and C++ programming languages.

  Prerequisites and co-requisites

  Ohjelmoinnin perusosaaminen. (not translated)

  Course contents

  Procedural programming based on the C-language. The focus will be on pointers and the memory management. Object oriented programming using the C++ language.

  Further information

  Tieto- ja viestintätekniikan tutkinto-ohjelman valinnainen opintojakso. (not translated)

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TIVI-ELECT
  • TVT17K-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     C/C++ Programming TX00CR60-3007 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT1) + -
  Learning outcomes of the course

  Student will learn C and C++ programming languages.

  Prerequisites and co-requisites

  Ohjelmoinnin perusosaaminen. (not translated)

  Course contents

  Procedural programming based on the C-language. The focus will be on pointers and the memory management. Object oriented programming using the C++ language.

  Further information

  Tieto- ja viestintätekniikan tutkinto-ohjelman valinnainen opintojakso. (not translated)

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT1

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     CISSP: Certified Information System Security Professional TT00CR29-3005 01.01.2020-31.12.2020  8 credits  (ATX20TV) + -
  Learning outcomes of the course

  This course is an review course that contains information security concepts and industry best practices, covering the 8 domains of the CISSP Common Body of Knowledge (CBK)®:
  • Security and Risk Management
  • Asset Security
  • Security Engineering
  • Communications and Network Security
  • Identity and Access Management
  • Security Assessment and Testing
  • Security Operations
  • Software Development Security
  
  This course will expand upon your knowledge by addressing the essential elements of those eight domains that comprise a Common Body of Knowledge (CBK)® for information systems security professionals. The course offers a job-related approach to the security process and will prepare you to pass the 2015 version of the CISSP® exam.

  Course contents

  In this course, you will identify and reinforce the major security subjects from the eight domains of the (ISC)2 CISSP CBK.
  
  
  Course Content
  
  Module 1: Security and Risk Management
  Module 1.1: Security Governance Principles
  Module 1.2: Compliance
  Module 1.3: Professional Ethics
  Module 1.4: Security Documentation
  Module 1.5: Risk Management
  Module 1.6: Threat Modeling
  Module 1.7: Business Continuity Plan Fundamentals
  Module 1.8: Acquisition Strategy and Practice
  Module 1.9: Personnel Security Policies
  Module 1.10: Security Awareness and Training
  
  Module 2: Asset Security
  Module 2.1: Asset Classification
  Module 2.2: Privacy Protection
  Module 2.3: Asset Retention
  Module 2.4: Data Security Controls
  Module 2.5: Secure Data Handling
  Module 3: Security Engineering
  Module 3.1: Security in the Engineering Lifecycle
  Module 3.2: System Component Security
  Module 3.3: Security Models
  Module 3.4: Controls and Countermeasures in Enterprise Security
  Module 3.5: Information System Security Capabilities
  Module 3.6: Design and Architecture Vulnerability Mitigation
  Module 3.7: Vulnerability Mitigation in Embedded, Mobile, and Web-Based Systems
  Module 3.8: Cryptography Concepts
  Module 3.9: Cryptography Techniques
  Module 3.10: Site and Facility Design for Physical Security
  Module 3.11: Physical Security Implementation in Sites and Facilities
  
  Module 4: Communications and Network Security
  Module 4.1: Network Protocol Security
  Module 4.2: Network Components Security
  Module 4.3: Communication Channel Security
  Module 4.4: Network Attack Mitigation
  
  Module 5: Identity and Access Management
  Module 5.1: Physical and Logical Access Control
  Module 5.2: Identification, Authentication, and Authorization
  Module 5.3: Identity as a Service
  Module 5.4: Authorization Mechanisms
  Module 5.5: Access Control Attack Mitigation
  
  Module 6: Security Assessment and Testing
  Module 6.1: System Security Control Testing
  Module 6.2: Software Security Control Testing
  Module 6.3: Security Process Data Collection
  Module 6.4: Audits
  
  Module 7: Security Operations
  Module 7.1: Security Operations Concepts
  Module 7.2: Physical Security
  Module 7.3: Personnel Security
  Module 7.4: Logging and Monitoring
  Module 7.5: Preventative Measures
  Module 7.6: Resource Provisioning and Protection
  Module 7.7: Patch and Vulnerability Management
  Module 7.8: Change Management
  Module 7.9: Incident Response
  Module 7.10: Investigations
  Module 7.11: Disaster Recovery Planning
  Module 7.12: Disaster Recovery Strategies
  Module 7.13: Disaster Recovery Implementation
  
  Module 8: Software Development Security
  Module 8.1: Security Principles in the System Lifecycle
  Module 8.2: Security Principles in the Software Development Lifecycle
  Module 8.3: Database Security in Software Development
  Module 8.4: Security Controls in the Development Environment
  Module 8.5: Software Security Effectiveness Assessment

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Assessment methods and criteria

  Harjoitukset sekä lopputentti netissä. (not translated)

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 8 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student:
  - Go to https://moodle.metropolia.fi/course/view.php?id=144
  - Enrollment key for the course: cissp
  - Password for final exam: cissp
  
  Please review the course modules 1-8 material and then do the Final exam.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  8 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student - course is online (Self-Study) course.

  International connections

  N/A

  Students use of time and load

  Up to Student - course is online (Self-Study) course.

  Content periodicity

  Up to Student - course is online (Self-Study) course.

•     Calibration of Measurement Devices and Data Evaluation TX00DC44-3003 05.08.2019-08.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  After completion of this course the student will understand how to calibrate a computer aided measurement device. He will understand to separate systematic errors and random errors, correct systematic errors and describe random errors with fundamental statistical methods. He should be able to create a visualisation of rows of measurements. The student is able to calculate the average error of the mean and to calculate error propagations.

  Prerequisites and co-requisites

  1. Fundamentals of mathematics
  2. Basics of technical science and physics

  Course contents

  1. Introduction
  2. Systematic errors and random errors, separation of them
  3. Movement and correction of a linear / non linear characteristic
  4. Example for calibration of a device and determination of the random error
  5. Range and Precision and error propagation
  6. Evaluation of series of measurements

  Assessment criteria

  Satisfactory

  - Student understands the principles of calibration
  - Student has run the lab experiment with right results
  - Student has more the 50% of the points of the written exam

  Good

  - Student understands the principles of calibration and pre calibration
  - Has run the lab experiment with right results and can calculate the precision of the device.
  - Student has more the 70% of the points of the written exam

  Excellent

  in addition to the previous,
  - Student understands the principles of calibration and pre calibration
  - Has run the lab experiment with right results and can calculate the precision of the device.
  - Student has more the 70% of the points of the written exam

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  • lecture as pdf or printed out

  Planned learning activities and teaching methods

  Lectures will find place in lecture halls and the lab experiment will find place in a Lab.
  All learning material is published online in course web-page.

  Assessment methods and criteria

  The course assessment is based on
  - active attendance
  - active calculation of examples by the students during the lecture
  - assessment of the lab experiment
  - written examination over 60 minutes

  Language of instruction

  English

  Timing

  05.08.2019 - 08.08.2019

  Enrollment date

  02.05.2019 - 04.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Jörg Hoffmann, Werner Trentmann, Antti Piironen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Cloud Networking Project TX00CP87-3005 16.03.2020-10.05.2020  15 credits  (ICT18-N) + -
  Learning outcomes of the course

  Student should have a clear understanding how Cloud Services work and how they can implemented. He/she knows about different ways to implement Wide Area Networks and is able to chose optiminm implementation according requirements. Student can also implemet small Cloud Service project

  Course contents

  Wide area networks, Open source cloud services , commercial cloud services. English, Practical project

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may increase his/her knowledge in the given field and finally work in a suitable job position related to this field.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge in study and work situations.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 15 credits

  Group(s)

  • ICT18-N

  Seats

  0 - 40

  Teacher(s)

  Taru Sotavalta, Tapio Wikström, Erik Pätynen, Marko Uusitalo, Sari Rannisto

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Cloud Programming TX00CR59-3006 26.08.2019-13.10.2019  5 credits  (TVT17K-O, ...) + -
  Learning outcomes of the course

  Student gets familiar with modern web-technologies concerning cloud programming solutions.

  Prerequisites and co-requisites

  Web programming basics: HTML, CSS, JavaScript, server side programming and SQL

  Course contents

  Cloud Services: IaaS, Paas, Saas
  Cloud programming platforms (PaaS)
  Client side programming technologies
  Server side programming technologies
  Database technologies

  Further information

  Kurssi suoritetaan yleensä opintojen loppuvaiheessa (valinnaiset opinnot).
  Sisällöissä keskitytään sellaisiin moderneihin teknologioihin, joita ei aiemmilla web-kursseilla ole käytetty. (not translated)

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17K-O
  • TIVI-ELECT

  Seats

  0 - 40

  Teacher(s)

  Simo Silander

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Communication Networks TX00CD36-3008 26.08.2019-31.05.2020  5 credits  (ICT17-N) + -
  Learning outcomes of the course

  On completion of the course the student knows the basic structures and operating principles of different communication networks. The student knows also the basic terminology related to communication networks and is able to follow the development of new communication solutions.

  Prerequisites and co-requisites

  First year study modules or equivalent skills and knowledge.

  Course contents

  Standardization
  Basic principles of digital communication
  Signals carried over the network
  Speech coding methods and PCM
  Circuit and packet switched networks
  Transmission media
  Line coding and modulation
  Digital modulation methods
  Maximum transmission rate of a transmission channel
  Cellular radio principles

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student is able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum required level. His/her competences have developed in a way that he/she may increase his/her knowledge in the given field of technology and finally work in job positions related to this field of technology.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need to be enhanced on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply the knowledge of the course in study and work situations.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply the knowledge of the course in the study and work situations.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 31.05.2020

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT17-N

  Seats

  0 - 40

  Teacher(s)

  Antti Koivumäki

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Core Solutions of Microsoft SharePoint Server 2013, 70-331 TT00CS81-3004 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, the student has the ability to configure and maintain a SharePoint Server environment.

  Prerequisites and co-requisites

  Microsoft Office perusteet, Windows-käyttöjärjestelmien perusteet. (not translated)

  Course contents

  The course will provide you with the necessary platform to gain hands on skills in Microsoft SharePoint Server 2013. By completing the lab tasks you will improve your practical skills in building/managing web applications and site collections, configure managed metadata service and manage content databases. You will also plan and configure authentication, manage user permissions and configure SharePoint security.
  
  These same tasks will help you understand the objectives and competencies required by the MCSE 70-331 Core Solutions of Microsoft SharePoint Server 2013 certification exam.

  Assessment criteria

  Satisfactory

  Installation and configuration of SharePoint Environment
  - The student understands what needs to be considered while a SharePoint environment is being installed;
  - The student is capable of installing a simple SharePoint environment with the instructor's help;
  - The student understands what SharePoint farms are and he/she is capable of configuring them with the instructor's help;
  - The student understands what kind of an advantage the search index gives and he/she is capable of configuring it in a SharePoint environment.
  
  Administration of a SharePoint environment
  - The student is capable of defining settings related to SharePoint's operative actions (e.g. log settings, monitoring, reporting services);
  - The student understands what accounts and user roles are and he/she is capable of setting up and configuring them;
  - The student understands the importance of authentication in SharePoint and he/she is capable of configuring the most typical authentication methods.
  
  Deployment and maintenance of the applications
  - The student understands what web applications stand for and he/she is capable of defining the databases, settings and policies related to them with the instructor's help;
  - The student understands what SharePoint solution packages are and he/she is capable of configuring and installing them.
  
  The maintenance of the SharePoint environment
  - The student understands how backup and restore are designed in a SharePoint environment;
  - The student is capable of doing a simple backup and restore with the instructor's help.;
  - The student understands how the SharePoint environment can be monitored and analyzed;
  - The student can optimize the SharePoint environment based on the analysis he/she has made.

  Good

  Installation and configuration of SharePoint Environment
  - The student understands what needs to be considered while a SharePoint environment is being installed;
  - The student is capable of independently installing a simple SharePoint environment;
  - The student understands what SharePoint farms are and he /she is capable of configuring them;
  - The student understands what kind of advantage the search index gives and he/she is capable of configuring it in a SharePoint environment;
  - The student creates applicable solutions which are based on independent analysis.
  
  Administration of a SharePoint environment
  - The student is capable of defining settings related to SharePoint's operative actions (e.g. log settings, monitoring, reporting services);
  - The student understands what accounts and user roles are and he/she is capable of setting up and configuring them;
  - The student understands the importance of authentication in SharePoint and he/she is capable of configuring the most typical authentication methods;
  - The student creates applicable solutions which are based on independent analysis.
  
  Deployment and maintenance of the applications
  - The student understands what web applications stand for and he/she is capable of defining the databases, settings and policies related to them;
  - The student understands what SharePoint solution packages are and he/she is capable of configuring and installing them;
  - The student creates applicable solutions which are based on independent analysis.
  
  The maintenance of the SharePoint environment
  - The student understands how backup and restore are designed in a SharePoint environment;
  - The student is capable of doing a simple backup and restore;
  - The student understands how the SharePoint environment can be monitored and analyzed;
  - The student can optimize the SharePoint environment based on the analysis he/she has made;
  - The student creates applicable solutions which are based on independent analysis.

  Excellent

  Installation and configuration of SharePoint Environment
  - The student understands what needs to be considered while SharePoint environment is being installed;
  - The student is capable of independently installing a simple SharePoint environment;
  - The student understands what SharePoint farms are and he /she is capable of configuring them;
  - The student understands what kind of advantage the search index gives and he/she is capable of configuring it in a SharePoint environment;
  - The student shows applicable solutions which are based on independent analysis and he/she is cacapable of evaluating critically the solutions and propose possible alternative ways to carry out the solutions.
  
  Administration of a SharePoint environment
  - The student is capable of defining settings related to SharePoint's operative actions (e.g. log settings, monitoring, reporting services);
  - The student understands what accounts and user roles are and he/she is capable of setting up and configuring them;
  - The student understands the importance of authentication in SharePoint and he/she is capable of configuring the most typical authentication methods;
  - The student shows applicable solutions which are based on independent analysis and he/she is capable of evaluating critically the solutions and propose possible alternative ways to carry out the solutions.
  
  Deployment and maintenance of the applications
  - The student understands what web applications stand for and he/she is capable of defining the databases, settings and policies related to them;
  - The student understands what the SharePoint solution packages are and he/she is capable of configuring and installing them;
  - The student shows applicable solutions which are based on independent analysis and he/she is capable of evaluating critically the solutions and propose possible alternative ways to carry out the solutions.
  
  The maintenance of the SharePoint environment
  - The student understands how backup and restore are designed in a SharePoint environment;
  - The student is capable of doing a simple backup and restore;
  - The student understands how the SharePoint environment can be monitored and analyzed;
  - The student can optimize the SharePoint environment based on the analysis he/she has made;
  - The student shows applicable solutions which are based on independent analysis and he/she is capable of evaluating critically the solutions and propose possible alternative ways to carry out the solutions.

  Further information

  The computer exercises are performed in virtual environment using web browser.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 999

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student: please sent e-mail to contact person Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Cryptocurrencies, Digital Currencies for the Future? TX00DU21-3001 19.08.2019-23.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  In 2008, Satoshi Nakomoto (a pseudonym for a yet unknown person) published a whitepaper on a new technology useful in creating a fully distributed currency: the bitcoin. This technology has since slowly matured, and can be expected to stay. It is relevant to many people in the fields of information technology and finance to understand the technology and its consequences. However, because of the multitude of alternate crypto coins and ideas on useful features, deciding the way to move forwards is far from easy.
  
  This course aims at giving the student insight into the technology and how to use it. At the end, the group will draw the proverbial crystal ball and try to take a peek into the future of this technology, or rather this stack of related technologies.
  Specifically, after successfully completing this course, the student will be able to:
  • Set up the infrastructure necessary to use and mine crypto currencies.
  • Find relevant literature for specific crypto coins and blockchain technologies.
  • Evaluate the viability of a technology based on blockchain.
  • Express his (her) vision on the future of this technology stack.

  Prerequisites and co-requisites

  Students need to have some background in information technology, preferably with an introductory course in programming. They also need mathematics at a level making them admissible to a technical programme. Because of this, the course will be primarily suited for students in computer sciences and students in econometrics who took classes in programming or software development.

  Course contents

  Session 1: introduction to blockchain. History, encryption techniques, mechanisms and protocols. Discussing Proof of Work, Stake and Excellence. Specific routes to relevant literature.
  
  Session 2: using and mining cryptocurrencies. Setting up the technical infrastructure. Mining single node or using a mining pool. The ASICS problem.
  
  Session 3: features in crypto. Covering a number of different crypto coins having interesting features, such as master nodes, witnesses and smart contracts.
  
  Session 4: economics behind crypto. How to determine the viability of a crypto coin. Recognizing scams. Mechanisms determining the value (price) of a crypto coin. Exchanges and trading.
  
  Session 5: the future of crypto. Current issues and possible solutions. What would it take to make a crypto widely accepted, and what to make it fit for the future? The ideal cryptocurrency.
  ?

  ---

  Mode of delivery

  Face-to-face

  Assessment methods and criteria

  In order to receive the credits for this course, students need to demonstrate three things:
  1. Ability to use and mine crypto coins it. This is done by sending a few different coins to addresses given by the teacher. The coins need to be freshly mined, not bought on an exchange. The basic infrastructure for this assignment is set up during the first two days and finalized on day 3.
  For this purpose, a few coins easily mined and worth very little are selected.
  2. Understanding of the technique and features implemented in current crypto coins and
  3. Insight into the economic principles influencing crypto currencies.
  Items 2 and 3 are demonstrated by writing a paper. This paper needs to have the following elements:
  1. Introduction (200 – 500 words)
  2. General principles of blockchain (300 – 1000 words)
  a. Merkle Patricia Tree
  b. Encryption
  c. Blocks and the Block Chain
  3. Features of several crypto coins (1500 + words)
  a. Original idea of Bitcoin
  b. Limitations in bitcoin
  c. Added functionality in altcoins (example: smart contracts)
  d. Attempts to solve the limitations (example: witnesses)
  4. Economic principles governing crypto (300 – 600 words)
  a. Econometrics
  b. Marketing / sociology
  5. The ideal crypto currency (500 – 2500 words)
  6. The Future (200 – 500 words)
  a. Where will this go?
  7. References to relevant literature used
  Sending the coins is marked Pass/ Fail. The paper is graded Fail/ Pass/ Excellent, where the deciding criteria for getting an Excellent are bullet points 5 and 6. The amount of words given is indicative, not prescriptive; the paper is expected to be between about 6 and 18 pages excluding pictures.
  Both assignment need to be at least Pass in order to receive the credits. When passing both, the final grade is equal to the grade for the paper.

  Language of instruction

  English

  Timing

  19.08.2019 - 23.08.2019

  Enrollment date

  02.05.2019 - 18.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 30

  Teacher(s)

  Antti Piironen, Harald Drillenburg

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Customers and Users of eHealth Services TX00CG29-3006 13.01.2020-15.03.2020  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student recognizes essential social and healthcare services, identifies social and healthcare operating principles, recognizes different types of customers and users and their special needs and perspectives, and knows how to take these issues into consideration when utilizing ICT solutions to services and processes.

  Course contents

  • Social and healthcare actors, operating principles and services
  • Roles of customer and user
  • ICT solutions’ customers and users and their special needs
  • Customer in product development
  • User perspective to technology

  Assessment criteria

  Satisfactory

  Student recognizes some essential social and healthcare operating principles and services, identifies some customers and users of health related ICT solutions and their special needs, and uses learned knowledge.

  Good

  Student recognizes essential social and healthcare operating principles and services, identifies customers and users of health related ICT solutions and their special needs, and applies learned knowledge.

  Excellent

  Student thoroughly recognizes essential social and healthcare operating principles and services, understands customers and users of health related ICT solutions and their special needs, and applies learned knowledge in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  - Hyysalo, Sampsa. 2009. Käyttäjä tuotekehityksessä. Tieto, tutkimus, menetelmät. Otavan Kirjapaino Oy. Keuruu. Luettavissa http://www2.uiah.fi/~heidig/Teaching/Course_assignments/Entries/2011/9/13_Johdatus_muotoilun_tutkimukseen_files/Hyysalo%202009.pdf
  - Sivistystoimen työkalupakki palvelumuotoiluun. Espoo. Luettavissa https://designresearch.aalto.fi/groups/encore/wp-content/uploads/2013/11/Sivistystoimen_tyokalupakki_palvelumuotoiluun2.pdf
  - SDT Palvelumuotoilun työkalupakki. Luettavissa http://sdt.fi/materiaali/ServiceDesignToolkit.pdf (not translated)

  Planned learning activities and teaching methods

  Luennot
  Tehtävät (not translated)

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Mikko Harju

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Cybersecurity Operations TX00DP60-3004 13.01.2020-10.05.2020  5 credits  (TXL16S2, ...) + -
  Learning outcomes of the course

  After completing this unit the learner understands cybersecurity principles, roles and responsibilities as well as the related technologies, tools, regulations, and frameworks available.The learner can apply knowledge and skills to monitor, detect, investigate, analyze and respond to security incidents.

  Prerequisites and co-requisites

  Basic knowledge of communication networks and operating systems.

  Course contents

  principles of network security
  network attacks
  protecting the network
  security monitoring
  analyzing intrusion data
  incident response and handling

  Assessment criteria

  Satisfactory

  Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

  Good

  Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TXL16S2
  • TIVI-ELECT4

  Seats

  0 - 30

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Cybersecurity Operations TX00DP60-3002 26.08.2019-15.12.2019  5 credits  (ICT17-N) + -
  Learning outcomes of the course

  After completing this unit the learner understands cybersecurity principles, roles and responsibilities as well as the related technologies, tools, regulations, and frameworks available.The learner can apply knowledge and skills to monitor, detect, investigate, analyze and respond to security incidents.

  Prerequisites and co-requisites

  Basic knowledge of communication networks and operating systems.

  Course contents

  principles of network security
  network attacks
  protecting the network
  security monitoring
  analyzing intrusion data
  incident response and handling

  Assessment criteria

  Satisfactory

  Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

  Good

  Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  Cisco Academy course material

  Planned learning activities and teaching methods

  lecture
  laboratory exercises
  theory exercies

  Assessment methods and criteria

  closed book exam
  skills demonstration
  learning assingments

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT17-N

  Seats

  0 - 30

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Completion alternatives

  Valid CCNA CyberOps sertification and skills demonstration

  Work placement(s)

  Cisco Academy

  Assessment criteria

  Satisfactory

  Understanding the basics of cybersecurity concepts, tools and incident analysis.

  Good

  Knowledge and skills about cybersecurity technolgiies and frameworks.

  Excellent

  Can detect, investigate, analyze and respond to security incidents

•     Data Collection and Processing TX00CG26-3007 21.10.2019-15.12.2019  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student knows how to build a simple measurement system and how to connect sensors to measurement system, understands sensor operation, and manages measurement data processing and storage.

  Course contents

  ? Labview programming
  ? Development of graphical measurement application
  ? Connecting sensors to system
  ? Data processing, analysis and presentation
  ? Storing data to database

  Assessment criteria

  Satisfactory

  Student is part of a team that builds a simple measurement system and connects sensors to the system, and understands basics of sensor operation, measurement data processing and storage.

  Good

  Student builds a simple measurement system and connects sensors to the system, understands sensor operation, and manages measurement data processing and storage.

  Excellent

  Student builds a simple measurement system, connects sensors to the system, and analyzes system operation, has a high-level understanding of sensor operation, and thoroughly manages measurement data processing and storage.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Sakari Lukkarinen, Mikael Soini, Joseph Hotchkiss

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Data Encryption and Cryptomathematics TX00CK78-3007 21.10.2019-15.12.2019  5 credits  (TVT17-O) + -
  Learning outcomes of the course

  The student is sufficiently familiar with algebraic theories in order to understand the operation of the most usual encryption algorithms and the basis of encryption. The student understands the basic facts of computational complexity such as the difference between polynomial and superpolynomial work of computation and the idea of probabilistic algorithms.

  Prerequisites and co-requisites

  Discrete Mathematics. Programming skills.

  Course contents

  1) Algebra and number theory
  2) Basic Terms in Cryptography
  3) Algorithms and computational complexity
  4) RSA encryption and factoring problem
  5) Discrete Logarithm problem and applying it to cryptography

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-O

  Seats

  0 - 40

  Teacher(s)

  Mikko Pere

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Data Encryption and Cryptomathematics TX00CK78-3008 16.03.2020-10.05.2020  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  The student is sufficiently familiar with algebraic theories in order to understand the operation of the most usual encryption algorithms and the basis of encryption. The student understands the basic facts of computational complexity such as the difference between polynomial and superpolynomial work of computation and the idea of probabilistic algorithms.

  Prerequisites and co-requisites

  Discrete Mathematics. Programming skills.

  Course contents

  1) Algebra and number theory
  2) Basic Terms in Cryptography
  3) Algorithms and computational complexity
  4) RSA encryption and factoring problem
  5) Discrete Logarithm problem and applying it to cryptography

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 45

  Teacher(s)

  Mikko Pere

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Data Structures and Algorithms TX00CG82-3009 13.01.2020-15.03.2020  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student understands concepts of abstraction and interfacing, and perceives importance of components in programming work. He knows the most common data structures: lists, sets, associative structures, and ordered/unordered collections, and is able to utilize those. Student understands how to implement different data structures and algorithms in practice.

  Prerequisites and co-requisites

  Object-oriented programming (C++), Game mathematics.

  Course contents

  • abstraction, abstract data type, interface
  • data structures
  • iterators
  • implementation of data structures and algorithms
  • recursion
  • computational complexity
  • utilizing data structure APIs

  Assessment criteria

  Satisfactory

  Student understands importance of abstraction in programming, and is able to utilize data structure APIs.

  Good

  Student understands importance of abstraction in programming, and is able to utilize data structure APIs.
  
  Student is able to choose and implement suitable data structures and algorithms.

  Excellent

  Student understands importance of abstraction in programming, and is able to utilize data structure APIs.
  
  Student is able to choose and implement suitable data structures and algorithms.
  
  Student understands concept of computational complexity and is able to analyze complexity of various algorithms.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 42

  Teacher(s)

  Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Data Structures and Algorithms TX00DS64-3001 16.03.2020-10.05.2020  5 credits  (TVT18-O) + -
  Learning outcomes of the course

  Student is familiar with basic data structures and knows about some crucial, often used algorithms. Student will have practical skills for planning and analysing algorithms. Furthermore a student familiarizes oneself with the Java Collections API module, as an example of a framework including a complete set of data structures and algorithms.

  Prerequisites and co-requisites

  Object-oriented Applications and Databases

  Course contents

  - Abstract data type
  - Data structures: linear list, stack, queue, trees, priority queue, set (hashing), graphs
  - Recursion
  - Implementation of data structures and algorithms
  - Search problem, sort problem
  - Computational complexity
  - Using Java Collections API: containers and iterators

  Assessment criteria

  Satisfactory

  Understands the principle of abstraction in programming work and is able to use different data structures offered by APIs.

  Good

  The student understands the implementation principles of different data structures and is able to choose an appropriate data structure to a problem in hand. Student is able to write algorithms to manage different data structures.

  Excellent

  The student understands and is able to analyze the computational complexity of different data structures and their algorithms.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 42

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Data Structures, Algorithms and Interfaces TX00CF79-3009 21.10.2019-13.12.2019  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  Student is familiar with basic data structures and knows about some crucial, often used algorithms. Student will have practical skills for planning and analysing algorithms. Furthermore a student familiarizes oneself with the Java Collections API module, as an example of a framework including a complete set of data structures and algorithms.

  Prerequisites and co-requisites

  Object-oriented Applications and Databases

  Course contents

  - Abstract data type
  - Data structures: linear list, stack, queue, trees, priority queue, set (hashing), graphs
  - Recursion
  - Implementation of data structures and algorithms
  - Search problem, sort problem
  - Computational complexity
  - Using Java Collections API: containers and iterators

  Assessment criteria

  Satisfactory

  Understands the principle of abstraction in programming work and is able to use different data structures offered by APIs.

  Good

  The student understands the implementation principles of different data structures and is able to choose an appropriate data structure to a problem in hand. Student is able to write algorithms to manage different data structures.

  Excellent

  The student understands and is able to analyze the computational complexity of different data structures and their algorithms.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 13.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Database Solutions TX00CR58-3006 26.08.2019-13.10.2019  5 credits  (TIVI-ELECT, ...) + -
  Learning outcomes of the course

  Upon completing the course the student knows the principles and key practices in logical and physical database design. He/she is able to model the structure and dependencies of data. The student is able to design a relational database both on database-first and code-first basis. He/she can implement a database in such a way that its structure, performance and security are of high standards. The student is familiar with challenges in object-relational mapping, and he/she masters the key related technologies. The student understands the principles of database concurrency control.

  Prerequisites and co-requisites

  Basics of object-oriented programming.
  Basic SQL knowledge.

  Course contents

  Data-first and code-first database design, normalization of databases, installation and configuration of a database server, indexing, query optimization, views, triggers, user privileges, security, backup policies, object-relational mapping and its technical solutions, means of concurrency control.

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TIVI-ELECT
  • TVT17K-O

  Seats

  0 - 40

  Teacher(s)

  Olli Hämäläinen, Vesa Ollikainen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Database Solutions TX00CR58-3007 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT1) + -
  Learning outcomes of the course

  Upon completing the course the student knows the principles and key practices in logical and physical database design. He/she is able to model the structure and dependencies of data. The student is able to design a relational database both on database-first and code-first basis. He/she can implement a database in such a way that its structure, performance and security are of high standards. The student is familiar with challenges in object-relational mapping, and he/she masters the key related technologies. The student understands the principles of database concurrency control.

  Prerequisites and co-requisites

  Basics of object-oriented programming.
  Basic SQL knowledge.

  Course contents

  Data-first and code-first database design, normalization of databases, installation and configuration of a database server, indexing, query optimization, views, triggers, user privileges, security, backup policies, object-relational mapping and its technical solutions, means of concurrency control.

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT1

  Seats

  0 - 40

  Teacher(s)

  Vesa Ollikainen, Olli Hämäläinen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Databases in Game Development TX00DO54-3002 26.08.2019-13.10.2019  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student improves skills in database design and game development. He is able to utilise databases in game projects.

  Course contents

  • Database design
  • Game development

  Assessment criteria

  Satisfactory

  • Student is able to implement a database according to specifications
  • Student has basic skills in game development

  Good

  • Student is able design and implement a database
  • Student has basic skills in game development
  • Student is able to utilise databases in game projects

  Excellent

  • Student is able design and implement a database
  • Student has good skills in game development
  • Student is able to utilise databases in game projects

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 40

  Teacher(s)

  Heini Puuska, Antti Laiho

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Description and Modelling Techniques TX00CF80-3008 26.08.2019-13.10.2019  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  Understanding the purpose and principles of modelling and UML description language.
  The ability to use CASE tools for software design. Understanding the relationships between the program code and UML diagrams.

  Prerequisites and co-requisites

  Object-oriented Applications and Databases

  Course contents

  - overview of modelling techniques (structural and object-based)
  - description techniques: static and dynamic model, differences
  - object-based UML modelling : use case modelling, class and object diagrams, sequence diagrams and
  state diagrams
  - data modelling (ER models and ORM descriptions)

  Assessment criteria

  Satisfactory

  The student knows the basic uses and goals for modelling. He or she can categorize the most important UML diagrams according to use. He or she can explain and give an example of a behavioral and structural diagram. He or she can use a CASE tool for producing UML diagrams.

  Good

  The student can describe the uses of different diagrams in software life cycle. He or she can use case diagrams and use case descriptions in analysing requirements. He or she can use class, sequence, and state diagrams in designing software.

  Excellent

  The student can choose relevant modelling methods applicable to a project. He or she can apply modelling and UML techniques in all phases of a software project. He or she can use diagrams to descibe a system from different abstraction levels, and from diffrent angles.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 40

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Description and Modelling Techniques TX00CF80-3009 13.01.2020-15.03.2020  5 credits  (TVT18-O) + -
  Learning outcomes of the course

  Understanding the purpose and principles of modelling and UML description language.
  The ability to use CASE tools for software design. Understanding the relationships between the program code and UML diagrams.

  Prerequisites and co-requisites

  Object-oriented Applications and Databases

  Course contents

  - overview of modelling techniques (structural and object-based)
  - description techniques: static and dynamic model, differences
  - object-based UML modelling : use case modelling, class and object diagrams, sequence diagrams and
  state diagrams
  - data modelling (ER models and ORM descriptions)

  Assessment criteria

  Satisfactory

  The student knows the basic uses and goals for modelling. He or she can categorize the most important UML diagrams according to use. He or she can explain and give an example of a behavioral and structural diagram. He or she can use a CASE tool for producing UML diagrams.

  Good

  The student can describe the uses of different diagrams in software life cycle. He or she can use case diagrams and use case descriptions in analysing requirements. He or she can use class, sequence, and state diagrams in designing software.

  Excellent

  The student can choose relevant modelling methods applicable to a project. He or she can apply modelling and UML techniques in all phases of a software project. He or she can use diagrams to descibe a system from different abstraction levels, and from diffrent angles.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 42

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Design Patterns TX00CF83-3008 21.10.2019-15.12.2019  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  On completion of the course, the student knows the purpose of design patterns as elements of reusable object-oriented software. The student is familiar with GOF design patterns.

  Prerequisites and co-requisites

  Object-oriented programming

  Course contents

  Best and avoidable practices
  Purposes of patterns
  Structures and beaviours of patterns
  Applications of patterns

  Assessment criteria

  Satisfactory

  Student knows best practices and design patterns.

  Good

  Student is able to design and implement programs using best practices and design patterns.

  Excellent

  Student is able to diversely design and implement programs using best practices and design patterns.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 40

  Teacher(s)

  Simo Silander

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Design Patterns TX00CF83-3009 16.03.2020-10.05.2020  5 credits  (TVT18-O) + -
  Learning outcomes of the course

  On completion of the course, the student knows the purpose of design patterns as elements of reusable object-oriented software. The student is familiar with GOF design patterns.

  Prerequisites and co-requisites

  Object-oriented programming

  Course contents

  Best and avoidable practices
  Purposes of patterns
  Structures and beaviours of patterns
  Applications of patterns

  Assessment criteria

  Satisfactory

  Student knows best practices and design patterns.

  Good

  Student is able to design and implement programs using best practices and design patterns.

  Excellent

  Student is able to diversely design and implement programs using best practices and design patterns.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 42

  Teacher(s)

  Simo Silander

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Design of Safe and Reliable Systems TX00DB89-3003 05.08.2019-09.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  After completion of this course the student will be able to perform an application specific risk analysis, has knowledge of the fundamental defect mechanisms and load-bearing limits of hardware components, the typical error mechanisms in software components and can design a fail-safe technical system for a given purpose, which ensures the required minimum amount of functionality for a safe operation in case of a defect by suitable measures. Methodological competencies: Interdisciplinary thinking, acting and communication.

  Prerequisites and co-requisites

  1. C-Programming fundamentals
  2. (Digital) electronic circuits
  3. Mechatronic basics

  Course contents

  1. Introduction
  2. Learning from accidents
  3. Risk analysis and risk reduction methods
  4. Robust design of hardware and software
  5. Methods for failure tolerance
  6. Safety architectures
  7. Robot competition

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  - Electronic Safety Systems, Josef Börcsök
  - IEC EN 61508 (Functional Safety, Safety Related Systems)

  Planned learning activities and teaching methods

  Intensive course:
  - lectures
  - group work
  - presentations

  Assessment methods and criteria

  The course assessment is based on
  - active attendance
  - continuous assessment of lab exercises
  - individual contribution to project
  - short exam at the end of the intensive week
  
  It is highly recommended that on-site students attend all sessions. Timing of the exercises and project deadlines are scheduled such that the course can be completed on extended time period on one study semester, if agreed with the home institute degree programme.

  Language of instruction

  English

  Timing

  05.08.2019 - 09.08.2019

  Enrollment date

  02.05.2019 - 04.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Antti Piironen, Norbert Jung, Marcel Hasler

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  Hyväksytty/Hylätty

  Exam schedule

  Exam on the last day of the intensive week

  International connections

  Joint course with Hochschule Bonn-Rhein-Sieg, Germany.

  Students use of time and load

  Lectures 5x4h
  Home exercises 10h
  Project 30h
  Self study 20h
  Total 80h = 3ECTS

  Content periodicity

  Intensive week

•     Developing Chatbots using Microsoft Bot Framework TT00DJ78-3004 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  The goal of this course is for the student to be familiar with Microsoft Bot Framework as one of the widely
  used chatbot frameworks. After passing this course, the student will be able to understand different
  components of the framework and will be able to build intelligent chatbot using LUIS a NLU service by
  Microsoft and connect with different communication channels like Facebook, Website, slack etc. And also,
  will be able to deploy chatbot to production and get an idea about managing bot using Azure services.
  This course is 100% virtual thanks to the comprehensive tutorial videos and content made for this course.
  The student will pass this course after submitting required assignments, quiz, and projects.

  Course contents

  Introduction Part:
  What is a chatbot? - Why use chatbots? - The history of chatbot? - Benefits of chatbots - What are the
  types of chatbots? - How do chatbots work? - Chatbot architecture (NLU services - Frameworks -
  Channels) - How you can build a chatbot? - How to build chatbot without & with coding?
  Intermediate Part:
  Bot Architecture (Microsoft cognitive services - Microsoft Bot Framework - Channels) - Cognitive Services
  (LUIS) - Microsoft Bot Framework (Core Concepts - Design Principles - Patterns)
  Advanced Part:
  Create/Manage your Bot - Test/Deploy Bot - Add Intelligence(LUIS) - Integrate channels(Facebook
  Messenger)

  Assessment criteria

  Satisfactory

  - The student knows how chatbots work.
  - The student knows different types of chatbots.
  - The student can explain the general architecture of chatbots.
  - The student knows different chatbot frameworks.
  - The student knows different options to build chatbots with or without coding.
  - The student knows different NLU services

  Good

  - The student knows Microsoft Bot Framework core concepts.
  - The student knows LUIS core concepts.

  Excellent

  - The student knows different patterns to build chat dialog flows.
  - The student can create, train and test LUIS App.
  - The student can deploy bot using LUIS App and Microsoft Bot framework.
  - The student can deploy Bot with channel integration.
  - The student can design advanced chat flows.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  - Tutorial Videos
  - Assignments
  - Quiz
  - Projects
  - Self-study

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2017 - 31.12.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Course material is in English and course teacher is Farhad Eftekhari.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Lectures = 25h
  Labs = 25h
  Assignments = 35h
  Self-study = 40h
  Quiz = 2h
  Project = 5h
  Total = 132 hours

  Content periodicity

  Assignments 40%
  Quiz 20%
  Project 40%

•     Developing Modern Web Platforms (HTML,CSS,JS) TT00CQ83-3006 01.01.2020-31.12.2020  15 credits  (ATX20TV) + -
  Learning outcomes of the course

  The goal of this course is for the student to be familiar with required technologies to develop modern web platforms. After passing this course, the student will be able to select between primary technologies in web designing to work with them, and also develop projects and websites using such technologies. The student will be introduced to HTML as a markup language for describing web documents, and then will be familiar with CSS to apply styles on HTML elements, and finally learn JavaScript as an interpreted language to add dynamic functionalities to web applications. Together, they are among the essential technologies of World Wide Web content production.
  This course is 100% virtual thanks to the comprehensive tutorial videos and content made for this course.
  The student will pass this course after submitting required assignments and project.

  Course contents

  Introduction:
  History of Internet - The advent of World Wide Web - How the web works? - How web can get accessed to? - Common Web Protocols - Solutions for hosting our projects - Hosting > Things to consider - Registering a Domain - Importance of having web developing skills for a software engineer - Web Application vs. Desktop Application - Developing Concerns - The evolution of HTML - Developing Concerns - Responsive Design - Editors - Design > Target your audience - Mockups (Wireframes) - Template > Design - Your website statistics - What is Search Engine Optimization? - Publishing your website - Browsers
  
  HTML:
  Tags or Elements - Page Structure - HTML Tags and Attributes - 3 Musketeers - Body Element - Head Element - The Declaration - View the source - Creating your first HTML page - Working with Text - Working with Lists - Working with Links - Working with Images - Working with Tables - Working with Forms - Extra Markups - Commenting in HTML - ID vs. Class - META Tags - Especial Characters
  
  CSS:
  Understanding CSS - HTML and CSS are BestFriendsForever - How CSS works? - How to insert CSS? - CSS Selectors - CSS Rules Overlapping - CSS Rules Inheritance - Mastering Colors - Styling Text - Working with Fonts and Typefaces - Styling Links - Hover, active, focus - Boxes; Border, Margin, and Padding - Styling Lists, Tables and Forms - Layouts - Working with Images - HTML5 Layout Elements - CSS Frameworks - Introduction to Bootstrap
  
  JavaScript:
  Is JavaScript same as Java? - JavaScript benefits - Say hi to Scripts - Understanding flowcharts for programming - Objects and Properties - Events - Methods - Understanding the Document object - When a Browser meets a Web Page - How HTML-CSS-JS coexist? - Writing your first JavaScript - How to store JS? (Internal vs. External) - Using Objects and Methods - Variables and Data Types - Operators - Functions - This - Using Browser Object Model - Using Document Object Model (DOM) - Working with Global Objects - Comparison Operators - Decisions - Loops - Accessing Elements in DOM - Validation - HTML5 JavaScript APIs - Error Handling and Debugging - Introduction to JavaScript Libraries (EXTRA) - Introduction to jQuery (EXTRA) - Introduction to AngularJS (EXTRA) - Introduction to React.JS (EXTRA)

  Assessment criteria

  Satisfactory

  - The student understands the concept of WWW and how to have his/her website up and running with registering domain and allocating a host plan to it.
  - The student is familiar with common web protocols.
  - The student can properly define web applications and their advantageous over desktop applications.
  - The student understands developers concern for developing websites.
  - The student can select proper tools to develop a website.
  - The student is familiar with the basics of HTML.
  - The student is familiar with the basics of CSS.
  - The student is familiar with the basics of JavaScript

  Good

  - The student understands HTML elements and their attributes.
  - The student is able to apply CSS definitions all possible methods.
  - The student understands the concept of Colors and how to apply them on web pages and the elements inside of them.
  - The student is familiar with CSS Frameworks and has an understanding about Bootstrap and how to apply such library.
  - The student is familiar with accessing different elements in DOM.
  - The student is able to validate data entered in HTML forms using JavaScript.
  - The student is familiar with JavaScript libraries and has an understanding about jQuery, AngularJS, and React.JS

  Excellent

  - The student is able to design and implement web pages that have consistent functionalities, well defined HTML tags, and the proper and advance use of CSS.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Material is in TehcClass environment

  Planned learning activities and teaching methods

  - Tutorial Videos
  - Assignments
  - Quiz
  - Projects
  - Self-study

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 15 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  Material is in English and contact teacher is Farhad Eftekhari

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  15 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Can be find in TechClass environment.

  International connections

  N/A

  Students use of time and load

  Up to Student - course is online (Self-Study) course.

  Content periodicity

  Up to Student - course is online (Self-Study) course.

•     Developing SQL Databases TT00DD01-3004 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After taking the SQL Server Developer, which prepares for 70-762 certification, student knows how to design and implement database objects, implement programmability objects, manage database concurrency and optimize database objects and SQL infrastructure.

  Course contents

  - Database objects (design and implementation)
  - Programmability objects
  - Manage database concurrency;
  - Database objects optimization
  - SQL infrastructure

  Assessment criteria

  Satisfactory

  Student knows how-to design and implement database objects, implement programmability objects, manage database concurrency and optimize database objects and SQL infrastructure with help from senior colleague.

  Good

  Student knows how-to design and implement database objects, implement programmability objects, manage database concurrency and optimize database objects and SQL infrastructure with good level and work independently.

  Excellent

  Student knows how-to design and implement database objects, implement programmability objects, manage database concurrency and optimize database objects and SQL infrastructure with excellent level and work independently. . He/She also has ability to participate 70-762 certification exam.

  Further information

  Grading: Pass/Fail

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student

  International connections

  N/A

  Students use of time and load

  Up to Student

  Content periodicity

  Up to Student

•     Development of Safe and Secure Software TX00CK77-3007 21.10.2019-15.12.2019  5 credits  (TVT17-O) + -
  Learning outcomes of the course

  A student knows issues considering secure and safe software, especially in web environment.
  A student knows many different ways to make secure web-applications and protect a web server and he/she can make a safe user database and he/she can make many different security tests for it.

  Prerequisites and co-requisites

  Web Programming skills (JavaScript, PHP)

  Course contents

  - Open Web Applications Security Project OWASP
  - SAMM (Software Assurance Maturity Model)
  - ASVS (OWASP Application Security Verification Standard)
  - OWASP TOP 10 -list
  - network security
  - different vulnerabilities of web applications and how to protect web applications against them.
  - Apache web server, installing and configuring
  - safe programming with different programming languages
  - safe database connection (e.g. MySQL)
  - user databases
  - Google Hacking
  - certificates and https-protocol
  - penetration testing
  - server hardening

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-O

  Seats

  0 - 40

  Teacher(s)

  Ilpo Kuivanen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Development of Safe and Secure Software TX00CK77-3008 16.03.2020-10.05.2020  5 credits  (TVT18K-O) + -
  Learning outcomes of the course

  A student knows issues considering secure and safe software, especially in web environment.
  A student knows many different ways to make secure web-applications and protect a web server and he/she can make a safe user database and he/she can make many different security tests for it.

  Prerequisites and co-requisites

  Web Programming skills (JavaScript, PHP)

  Course contents

  - Open Web Applications Security Project OWASP
  - SAMM (Software Assurance Maturity Model)
  - ASVS (OWASP Application Security Verification Standard)
  - OWASP TOP 10 -list
  - network security
  - different vulnerabilities of web applications and how to protect web applications against them.
  - Apache web server, installing and configuring
  - safe programming with different programming languages
  - safe database connection (e.g. MySQL)
  - user databases
  - Google Hacking
  - certificates and https-protocol
  - penetration testing
  - server hardening

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 45

  Teacher(s)

  Ilpo Kuivanen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Digital Self Care Applications and Opportunities TX00CG34-3005 26.08.2019-13.10.2019  5 credits  (TVT17-H) + -
  Learning outcomes of the course

  After completing the course, the student understands drivers that are changing healthcare system, knows digital self-care devices, solutions and services, understands self-care related business, customers and perspectives, and applies learned knowledge.

  Course contents

  ? Healthcare system in transition
  ? Digital self-care ecosystem
  ? Products for diagnostics and care
  ? Digital self-care software and services
  ? Perspectives to technology utilization

  Assessment criteria

  Satisfactory

  Students recognizes some digital self-care devices, solutions and services, and identifies self-care ecosystem and drivers changing healthcare system, and uses learned knowledge.

  Good

  Students recognizes digital self-care devices, solutions and services, and understands self-care ecosystem and drivers changing healthcare system, and applies learned knowledge.

  Excellent

  Students thoroughly recognizes digital self-care devices, solutions and services, and has a high-level understanding of self-care ecosystem and drivers changing healthcare system, and applies learned knowledge in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-H

  Seats

  0 - 40

  Teacher(s)

  Juha Havukumpu, Mikael Soini

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Digital Signal Processing TX00CQ62-3005 05.08.2019-16.08.2019  5 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  Knowledge and understanding:
  - The students will know the basic properties of digital signal processing systems. They are able to analyze signal processing systems and to understand the background of filter design software.
  Skills:
  - The student is able to use basic signal processing tools for analyzing and modifying existing digital signal processing systems.

  Prerequisites and co-requisites

  Basic mathematics and complex numbers, C programming language

  Course contents

  Core content level:
  Basics of Digital Signal Processing: discrete signals and their properties, properties of sampled linear systems, difference equation, convolution, correlation, analysis of linear discrete-time systems: impulse and step responses, transfer function, frequency response,
  Discrete Fourier Transform (DFT), z-Transform, pole-zero- diagram. basic audio signal processing
  
  Additional content:
  Training material including solved problems are provided.

  Assessment criteria

  Satisfactory

  Student understands the fundamentals of digital signal processing

  Good

  Student can apply digital signal processing methods on solving simple problems.

  Excellent

  Student can apply digital signal processing methods as a part of system development.

  ---

  Mode of delivery

  Face-to-face

  Assessment methods and criteria

  Written exam of 90 minutes duration about two weeks after the end of the course.

  Language of instruction

  English

  Timing

  05.08.2019 - 16.08.2019

  Enrollment date

  02.05.2019 - 04.08.2019

  • 5 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 50

  Teacher(s)

  Antti Piironen, Manfred Jungke

  Further information for students

  Summer School course

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Exam schedule

  Written exam of 90 minutes duration about two weeks after the end of the course.

•     Digital Signal Processing TX00CQ31-3005 21.10.2019-15.12.2019  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  After completion of this course the student will understand the fundamentals of digital signal processing. The student will be familiar with the most common operations involved in digital signal processing chain. The student will understand the importance of sampling operation and its key characteristics, applied to low pass signal but also to a band pass signal.
  
  The student understands fundamentals of linear quantization and quantization signal to noise. The student understands the concepts linear-time-invariant system, difference equation, Z-transform, impulse response, discrete convolution, system stability, and frequency response.
  
  The student can apply these concepts in digital filter (FIR/IIR) implementations.

  Prerequisites and co-requisites

  Programming (any language)

  Course contents

  1. Time and frequency domain.
  2. Analogue and digital signals.
  3. Multiplication vs. Convolution.
  4. Uniform sampling, Shannon.
  6. Sampling error, anti-aliasing filter.
  7. Linear quantization, SQNR.
  8. Digital sequences.
  9. Linear time invariant systems, impulse response, difference equation, convolution.
  10. Time domain response.
  11. Frequency response.
  12. Stability criteria.
  13. Z transform, transfer function H(z), properties.
  14. Digital Filtering.
  15. FIR and IIR implementation, basic method for synthesis.

  Assessment criteria

  Satisfactory

  Student understands fundamentals of linear DSP systems, and is able to utilize existing DSP tools on problem solving.

  Good

  In addition to satisfactory level, the student is able to choose and implement suitable DSP methods for DSP problem solving.

  Excellent

  In addition to good level, the student understands concept of computational complexity of DSP algorithms and is able to analyze complexity of various algorithms.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 35

  Teacher(s)

  Timo Salin, Jarkko Vuori

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Discrete Mathematics TX00CD83-3009 21.10.2019-15.12.2019  5 credits  (TVT18-O) + -
  Learning outcomes of the course

  After completing this course the student will be familiar with the basic concepts and facts in logic, set theory, relations, graphs and combinatorics. The student will have a vision of possible applications. In order to model technological systems and structures the student is able to utilize discrete models.

  Course contents

  1) Logic, theory of sets, relations and functions.
  2) Combinatorics.
  3) Graphs.

  Assessment criteria

  Satisfactory

  1) Logic, theory of sets, relations and functions
  The student is familiar with the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve simple problems.
  2) Combinatorics
  The student is familiar with combinatorial concepts, notation and principles. The student is able to solve simple problems.
  3) Graphs
  The student is familiar with graph theoretic concepts, notation and principles. The student is able to solve simple problems.

  Good

  1) Logic, theory of sets, relations and functions
  The student has a good command of the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve fundamental problems.
  2) Combinatorics
  The student has a good command of combinatorial concepts, notation and principles. The student is able to solve fundamental problems.
  3) Graphs
  The student has a good command of graph theoretic concepts, notation and principles. The student is able to solve fundamental problems.

  Excellent

  1) Logic, theory of sets, relations and functions
  The student has a deep understanding of the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve challenging problems.
  2) Combinatorics
  The student has a deep understanding of combinatorial concepts, notation and principles. The student is able to solve challenging problems.
  3) Graphs
  The student has a deep understanding of graph theoretic concepts, notation and principles. The student is able to solve challenging problems.

  Further information

  Computer exercises will be included.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 40

  Teacher(s)

  Jorma Räty

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Discrete Mathematics TX00CD83-3011 16.03.2020-10.05.2020  5 credits  (TVT19K-O) + -
  Learning outcomes of the course

  After completing this course the student will be familiar with the basic concepts and facts in logic, set theory, relations, graphs and combinatorics. The student will have a vision of possible applications. In order to model technological systems and structures the student is able to utilize discrete models.

  Course contents

  1) Logic, theory of sets, relations and functions.
  2) Combinatorics.
  3) Graphs.

  Assessment criteria

  Satisfactory

  1) Logic, theory of sets, relations and functions
  The student is familiar with the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve simple problems.
  2) Combinatorics
  The student is familiar with combinatorial concepts, notation and principles. The student is able to solve simple problems.
  3) Graphs
  The student is familiar with graph theoretic concepts, notation and principles. The student is able to solve simple problems.

  Good

  1) Logic, theory of sets, relations and functions
  The student has a good command of the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve fundamental problems.
  2) Combinatorics
  The student has a good command of combinatorial concepts, notation and principles. The student is able to solve fundamental problems.
  3) Graphs
  The student has a good command of graph theoretic concepts, notation and principles. The student is able to solve fundamental problems.

  Excellent

  1) Logic, theory of sets, relations and functions
  The student has a deep understanding of the concepts, notation and principles associated with proposition and predicate logic, set theory, relations and functions. The student is able to solve challenging problems.
  2) Combinatorics
  The student has a deep understanding of combinatorial concepts, notation and principles. The student is able to solve challenging problems.
  3) Graphs
  The student has a deep understanding of graph theoretic concepts, notation and principles. The student is able to solve challenging problems.

  Further information

  Computer exercises will be included.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT19K-O

  Seats

  0 - 40

  Teacher(s)

  Jorma Räty

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Disruptive Changes Based on New Work and Coworking TX00DT99-3001 19.08.2019-23.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  At the end of this project course students should be able to answer specific questions in the context of changing working environments, especially based on new work and coworking. Furthermore, students should be able to answer research questions with qualitative methods and basic quantitative statistics.

  Prerequisites and co-requisites

  Students need basic knowledge in research methods and academic research and writing. They should be interested in changing working environments and passionate about answering related research questions from the perspective of psychology, business administration or management. Basic reading on new work, coworking and changing working environments in general are highly encouraged before the course.

  Course contents

  The topics of the course are new work, coworking and changing working environments such as organizations without hierarchy. The course is project-oriented which means that the students work on their own research questions in order to explore these topics.
  
  Thus, we will practice academic research within our course and we will answer real research questions. This means we will start with a literature review of new work, coworking and related topics. In the next step, we will define potential research questions based on the literature review and specify concrete research questions. In the empirical part of the course, there will be different empirical methods such as desk research or case studies in order to collect data sets. The next step includes the analysis of the data sets using qualitative methods and basic quantitative statistics. In our last step, we will discuss limitations of our study and implications of our results.
  
  The research process is organized in small groups. Between the different steps of the research process, there will be intermediate presentation of all student groups.

  Assessment criteria

  Satisfactory

  Student knows basic facts about disruptive changes of the working environment.

  Good

  Student knows detailed facts about disruptive changes of the working environment.

  Excellent

  Student knows detailed facts about disruptive changes of the working environment and answers related research questions.

  Further information

  Prof. Dr Simon Werther is a professor at Stuttgart Media University and co-founder of the startup HRinstruments, which develops agile feedback tools. His current research focus at Stuttgart Media University are new work, agility and changing working environments of the future, such as coworking spaces and organisations without hierarchy. The psychologist founded his first internet company at the age of 16. After studying psychology and sinology, he completed his PhD at Ludwig-Maximilians-Universität Munich. Germanys most important professional HR journal “Personalmagazin” selected him as one of Germanys 40 leading HR experts. He initiated several events such as the HR Innovation Roadshow or the HR Expedition and is the speaker of the HR plattform of the German Startups Association. In addition, he is a member of the jury of the HR Innovation Award and he published several books and articles during the last years.

  ---

  Mode of delivery

  Face-to-face

  Assessment methods and criteria

  The course assessment is based on
  - active attendance
  - continuous intermediate presentations
  - individual contribution to research project
  - final presentation of the research study

  Language of instruction

  English

  Timing

  19.08.2019 - 23.08.2019

  Enrollment date

  02.05.2019 - 19.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 20

  Teacher(s)

  Antti Piironen, Simon Werther

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Embedded Linux Basics (Using Yocto Project) TX00DG09-3003 16.03.2020-10.05.2020  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  The course provides knowledge Embedded Linux using the Yocto Project. Upon completion of the course the student will be familiar with the following:
  - The basic idea of a Bootloader
  - Concept of Single Board Embedded Computer
  - Flashing a Linux image to a Single Board Comp
  - Writing embedded programs to interface specific peripherals (I2C, SPI, ADC, PWM… etc) in an embedded Linux environment

  Prerequisites and co-requisites

  Basic Linux/Unix skills
  Embedded Systems Programming
  Some idea of embedded interfaces (ADC, PWM, SPI… etc.)

  Course contents

  Embedded Linux development
  Interfacing Sensors
  Programming
  Yocto/Linux tool-chain

  Assessment criteria

  Satisfactory

  Students have achieved the required course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles required for development

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work
  situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • ICT17-S

  Teacher(s)

  Joseph Hotchkiss

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Embedded System project TX00CO32-3004 26.08.2019-13.10.2019  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  After completition student is able to desing and operate an embedded system as part of internet of things (IoT) and M2M communication. She/he has fundamental knowledge on reuired operating systems, sensor interfaces and in system design as well as in producs design.

  Course contents

  In the project students implement an embedded ARM-based system as part of internet of things. The focus is also in system design and in producs design.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 35

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Embedded Systems Programming TX00CI61-3009 13.01.2020-15.03.2020  5 credits  (ICT18-S, ...) + -
  Learning outcomes of the course

  The course provides knowledge on developing embedded systems on small scale microcontroller. On completion of the course students will know the principles of debugging and running embedded software in simulated and in production environments. Students are able to develop embedded system using C++ language with hardware interface based on given specifications. Additionally students learn to evaluate the need for software engineering tools for embedded systems.

  Course contents

  - Embedded Operating systems for microcontroller
  - Interfacing hardware
  - C++ language
  - Embedded systems in simulated environment
  - Embedded debugging tools and debugging techniques

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • ICT18-S
  • TIVI-ELECT4

  Seats

  0 - 41

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

•     Engineering Mathematics TX00CH61-3005 26.08.2019-13.10.2019  5 credits  (ICT18-S) + -
  Learning outcomes of the course

  The student can construct and solve linear models and interpret their results. The students knows the concepts of derivation and integration and is able to apply them into scientific and technical problems.

  Course contents

  - Differentiation
  - Integration
  - Basics of differential equations

  Assessment criteria

  Satisfactory

  The student knows the essential theory and concepts in the field and can utilise them in analysis and solutions of simple problems.

  Good

  The student can combine the knowledge acquired from various fields and, based on that, is able to solve also more demanding mathematical problems.

  Excellent

  In addition to the in-depth management of the course contents, the student shows also capability and motivation to exploit the acquired knowledge into independent development of competence.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.06.2019 - 04.08.2019

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 40

  Teacher(s)

  Timo Salin

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3101 21.10.2019-15.12.2019  5 credits  (TVT16-PE, ...) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • TVT16-PE
  • ICT16-SW

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3111 26.08.2019-15.12.2019  5 credits  (TVT17K-O) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17K-O

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3114 26.08.2019-15.12.2019  5 credits  (TVT17K-O) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17K-O

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3102 26.08.2019-13.10.2019  5 credits  (TVT16-PE) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Name of lecturer(s)

  Anne Perälampi

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT16-PE

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3132 13.01.2020-10.05.2020  5 credits  (TVT17-O, ...) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TVT17-O
  • TIVI-ELECT1

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3133 13.01.2020-10.05.2020  5 credits  (TVT17-O, ...) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TVT17-O
  • TIVI-ELECT1

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3136 16.03.2020-10.05.2020  5 credits  (TVT17-H) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • TVT17-H

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3137 13.01.2020-15.03.2020  5 credits  (TVT17-M) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TVT17-M

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3138 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT3, ...) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT3
  • ICT17-M

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3142 16.03.2020-10.05.2020  5 credits  (ICT17-N) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • ICT17-N

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3143 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT4, ...) + -
  Learning outcomes of the course

  On completion of the course, the student will possess the written and oral language skills in the second domestic language that are necessary in their professional field, as required by national legislation (352/2003 8§).
  The student will be able to communicate in Swedish in professional contexts both in Finland and in the other Nordic countries, taking into account the cultural and linguistic backgrounds of the communication partners.
  The student will possess oral and written language and communication skills that are at least at the level B1 as defined in the Common European Framework of Reference for Languages. The student will be able to seek information related to his/her own professional field in various sources and convey information both orally and in writing.
  During their studies, the student will have formed a positive and realistic view of his/her language and communicative competence as well as skills and motivation to develop the competence further.

  Prerequisites and co-requisites

  The acquisition of professional language and communication competence in the second domestic language (Swedish) requires the starting level B1.1 as defined by the Common European Framework of Reference for Languages.

  Course contents

  The course content will be tailored according to each Degree Programme or specialisation option.
  The contents of the course focus on field-specific oral and written exercises related to the following themes:
  • self-assessing one’s language and communication skills and developing learning strategies
  • education and career planning
  • organisations, working environments, tasks, processes and tools of the profession
  • field-related texts; increasing and activating the knowledge of technical terminology
  • key interactive communication situations: individual and group communication

  Assessment criteria

  Satisfactory

  In communication situations related to his/her field the student
  • Is able to cope in the most common general and specialised professional communication situations
  • Composes simple, though partly incoherent texts. Language errors may impair understanding but do not prevent the delivery of the message
  • Participates in simple spoken interaction but often needs help from the conversation partner
  • Uses basic general and technical terminology of his/her own field; however, inaccuracy and the influence of other languages may interfere with the delivery of the message.
  • Uses basic grammatical structures in a repetitious manner and partly incorrectly
  • Pronounces words mostly in a manner that can be understood, although the pronunciation deviates from that of the target language. Furthermore, the slow sentence rhythm makes the delivery of the message difficult.

  Good

  In communication situations related to his/her field the student
  • Succeeds relatively well in daily general and specialised professional discourse
  • Composes coherent texts that successfully communicate the intended meaning despite of grammatical errors and insufficient vocabulary
  • Takes initiative in familiar professional communication situations
  • Uses general and basic technical terminology of his/her own field relatively well. Lapses may occur in the choice of words or grammatical structures, but these do not cause misunderstanding
  • Pronounces in a manner that can be understood. Pauses in the sentence rhythm do not cause misunderstandings.

  Excellent

  In communication situations related to his/her field the student
  • Masters even varied and demanding general and specialised professional communication situations
  • Produces clear and detailed texts appropriate for the situation
  • Is an active participant in professional communication situations and allows for the requirements of the situation. Speaks fluently and effortlessly and takes the conversation partner into account
  • Uses technical and general terminology as well as grammatical structures diversely and almost without errors
  • Pronounces clearly, with a natural sentence rhythm
  • Pronounces clearly, with a natural sentence rhythm

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT4
  • ICT17-S

  Seats

  0 - 25

  Teacher(s)

  Anne Perälampi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Ethical Hacking TT00DC87-3004 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, student knows how-to exposure to threat vectors and counter measures, address emerging areas of cloud and mobile hacking. Course provides the advanced hacking tools and techniques used by hackers and information security professionals.

  Course contents

  Introduction to ethical hacking
  Foot printing and reconnaissance
  Scanning networks
  Enumeration
  Sniffing
  System hacking
  Malware threats
  Social engineering
  Denial of service
  Session hijacking
  Hacking web applications
  SQL injection
  Hacking wireless networks
  Hacking web servers
  Hacking mobile platforms
  Evading IDS, Firewalls, and Honeypot
  Cloud computing
  Cryptography

  Assessment criteria

  Satisfactory

  Students knows basics of ethical hacking, and is able to apply it with assistance

  Good

  Student knows ethical hacking with good level, and is able to apply it

  Excellent

  Student knows ethical hacking with excellent level, and is able to apply it independently and is very well prepared for CEH certification exam.

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  NOT for Metropolia's Degree Students.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Excel Advanced TT00CQ56-3005 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Kurssilla syvennetään muun muassa funktioiden käyttöä ja suodatusta sekä tutustutaan pivot-taulukoihin. Kurssi on tarkoitettu ohjelmaa toistuvasti käyttävälle, joka haluaa päästä eteenpäin ohjelman laajojen ominaisuuksien hyödyntämisessä tehokkaasti. Kurssi edellyttää vähintään Excel-perusteet -kurssin tietoja ja taitoja sekä käyttökokemusta. (not translated)

  Course contents

  Kurssilla syvennetään muun muassa funktioiden käyttöä ja suodatusta sekä tutustutaan pivot-taulukoihin. Kurssi on tarkoitettu ohjelmaa toistuvasti käyttävälle, joka haluaa päästä eteenpäin ohjelman laajojen ominaisuuksien hyödyntämisessä tehokkaasti. Kurssi edellyttää vähintään Excel-perusteet -kurssin tietoja ja taitoja sekä käyttökokemusta. (not translated)

  Assessment criteria

  Satisfactory

  Student knows how to use Excel with help from the instructor: advanced functions, analysis

  Good

  Student knows how to use Excel at advanced level: advanced functions, analysis

  Excellent

  Student knows how to apply Excel in very extend problems, and can provide solutions

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2017 - 31.12.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Tapio Wikström

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student: please sent e-mail to contact person Tapio Wikström

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

•     Excel Basics TT00CQ57-3005 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Excel is included in the Microsoft Office suite of applications. Spreadsheets present tables of values arranged in rows and columns that can be manipulated mathematically using both basic and complex arithmetic operations and functions.
  
  In addition to its standard spreadsheet features, Excel also offers programming support via Microsoft's Visual Basic for Applications (VBA), the ability to access data from external sources via Microsoft’s Dynamic Data Exchange (DDE), and extensive graphing and charting capabilities.

  Course contents

  Excel is included in the Microsoft Office suite of applications. Spreadsheets present tables of values arranged in rows and columns that can be manipulated mathematically using both basic and complex arithmetic operations and functions.
  
  In addition to its standard spreadsheet features, Excel also offers programming support via Microsoft's Visual Basic for Applications (VBA), the ability to access data from external sources via Microsoft’s Dynamic Data Exchange (DDE), and extensive graphing and charting capabilities.

  Assessment criteria

  Satisfactory

  Student knows how to use Excel in Basic level: user interface, basic functions

  Good

  Student knows how to use Excel at Good level (basics): user interface, basic functions

  Excellent

  Student knows how to use Excel at Excellent level (basics): user interface, basic functions

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2017 - 31.12.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Teacher(s)

  Tapio Wikström

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student: please sent e-mail to contact person Tapio Wikström

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

•     Excel Basics TT00CQ55-3005 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Excel is included in the Microsoft Office suite of applications. Spreadsheets present tables of values arranged in rows and columns that can be manipulated mathematically using both basic and complex arithmetic operations and functions.
  
  In addition to its standard spreadsheet features, Excel also offers programming support via Microsoft's Visual Basic for Applications (VBA), the ability to access data from external sources via Microsoft’s Dynamic Data Exchange (DDE), and extensive graphing and charting capabilities.

  Course contents

  Excel is included in the Microsoft Office suite of applications. Spreadsheets present tables of values arranged in rows and columns that can be manipulated mathematically using both basic and complex arithmetic operations and functions.
  
  In addition to its standard spreadsheet features, Excel also offers programming support via Microsoft's Visual Basic for Applications (VBA), the ability to access data from external sources via Microsoft’s Dynamic Data Exchange (DDE), and extensive graphing and charting capabilities.

  Assessment criteria

  Satisfactory

  Student knows how to use Excel in Basic level: user interface, basic functions

  Good

  Student knows how to use Excel at Good level (basics): user interface, basic functions

  Excellent

  Student knows how to use Excel at Excellent level (basics): user interface, basic functions

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.12.2017 - 31.12.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Tapio Wikström

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  Metropolia's Degree Student: please sent e-mail to contact person Tapio Wikström

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

•     Extending Game Development Tools TX00CR54-3005 16.03.2020-10.05.2020  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  Course description coming soon

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  Antti Veräjänkorva

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Extensive Mathematics and Physics I: Dynamic Phenomena TX00CR98-3004 16.03.2020-10.05.2020  5 credits  (LUMA) + -
  Learning outcomes of the course

  A student obtains a general view on modern physics and its effect on technical applications. (S)he also learns to master more advanced mathematics. A student with a successful completion of the course obtains knowledge that may help her/him to apply for master programs.
  
  On completion of this course the student:
  • understands the history of the scientific development of matter and energy
  • has the big picture of the mathematical topics belonging to the course and having highly important role in engineering sciences
  • can explain the basic phenomena of modern physics (quantum physics) and understands their effect on modern technological applications and the functioning of technical devices
  • is able to analyze and solve essential physical problems
  • masters the software used in the course
  • understands the contents of related scientific and technical articles

  Prerequisites and co-requisites

  A student who masters the basics of classical physics (mechanics, electricity and wave motion) and has good mathematical basic skills, benefits most of this course.

  Course contents

  • Differential equations and their use in modelling of phenomena
  • Complex numbers
  • Many-variable functions, vector fields
  • Electricity and magnetism, Maxwell’s equations
  • Quantum physics and its impact on physical models of matter and energy
  • Quantum physics in development of modern technology (e.g. semiconductor electronics)

  Assessment criteria

  Satisfactory

  The student:
  • understands the basic phenomena of modern physics (quantum physics)
  • is able to solve basic mathematical problems of the course
  • can explain and present mathematical solutions of physical problems practiced in the course
  ?

  Good

  In addition to satisfactory criteria, the student:
  • is able to analyze the functioning of modern technological applications and the relationships between the physical laws and the mathematical methods related to the applications
  • is able to apply learned mathematical methods

  Excellent

  In addition to the good criteria, the student:
  • has an excellent understanding of the studied physical phenomena and their applications
  • masters excellently the mathematical methods of the course
  • can apply his/her acquired knowledge and methods in various situations
  • understands scientific and technical articles of the subjects studied in the course

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • LUMA

  Seats

  0 - 40

  Teacher(s)

  Ari Koistinen, Juha Kopu

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Extensive Mathematics and Physics II: Data and Probability TX00CR99-3004 16.03.2020-10.05.2020  5 credits  (LUMA) + -
  Learning outcomes of the course

  A student acquires the understanding of statistical phenomena. (S)he also learns to handle and analyze data and master related more advanced mathematics. A student with a successful completion of the course obtains knowledge that may help her/him to apply for master programs.
  
  On completion of this course the student:
  • understands the significance of statistical phenomena in natural sciences and technology
  • has the big picture of the most important mathematics and mathematical methods related to probability, statistics and data analysis
  • understands the basic phenomena of solid-state physics and their impact and the effect of entropy in physical phenomena and procedures applying statistical theories
  • is able to analyze and solve essential physical problems
  • masters the software used in the course
  • understands the contents of related scientific and technical articles

  Prerequisites and co-requisites

  A student who masters the basics of classical physics (mechanics, electricity and wave motion) and has good mathematical basic skills, benefits most of this course.

  Course contents

  • Probability and statistical mathematics
  • Information theory
  • Methods of data analysis, big data
  • Statistical physics and its impact on solid-state physics
  • Thermodynamics and entropy

  Assessment criteria

  Satisfactory

  The student:
  • understands the basic phenomena of statistical physics and thermodynamics
  • is able to solve basic mathematical problems of the course
  • can explain and present mathematical solutions of physical problems practiced in the course

  Good

  In addition to satisfactory criteria, the student:
  • understands the impact of statistical physics in solid-state physics and is able to analyze the relationship between the laws of statistical physics and the mathematical methods related to the applications
  • is able to apply learned mathematical methods

  Excellent

  In addition to the good criteria, the student:
  • has an excellent understanding of the studied physical phenomena and their applications
  • masters excellently the mathematical methods of the course
  • can apply his/her acquired knowledge and methods into various situations
  • understands scientific and technical articles of the fields studied in the course

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • LUMA

  Seats

  0 - 40

  Teacher(s)

  Ari Koistinen, Juha Kopu

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Extensive Mathematics and Physics III: Modelling and Simulation TX00CS00-3004 16.03.2020-10.05.2020  5 credits  (LUMA) + -
  Learning outcomes of the course

  A student learns to model and simulate various phenomena and to master related computational methods and software. Skills achieved in the two previous courses of this 15-credit elective come to the use in this course. Relativity is also studied in this course. A student with a successful completion of the course obtains knowledge that may help her/him to apply for master programs.
  
  The teachers of the course aim to organize visits to companies and scientific laboratories during the course. The teachers also aim to organize lectures by visiting scientists and people working in companies.
  
  On completion of this course the student:
  • is able to model various phenomena and factors affecting them
  • has the big picture of the most common mathematical methods of modelling and simulation
  • masters the software used in the course
  • understands the basic phenomena of relativity
  • understands the contents of related scientific and technical articles

  Prerequisites and co-requisites

  A student who has passed the two previous courses or can show that (s)he masters the material studied during the previous courses is accepted to a student of this last course.

  Course contents

  • General principles and methods of modeling and simulation
  • Optimization methods
  • Integral transformations and transfer function
  • Relativity
  • Physics of nanomaterials

  Assessment criteria

  Satisfactory

  The student:
  • understands the basic phenomena of relativity and nanophysics
  • is able to solve basic optimization problems

  Good

  In addition to satisfactory criteria, the student:
  • understands the impact of relativity on natural sciences and information transfer and is able to analyze the relationships between the laws of relativity and the mathematical methods related to the applications
  • is able to apply learned mathematical methods on various modelling and optimization problems

  Excellent

  In addition to the good criteria, the student:
  • has an excellent understanding of the studied physical phenomena and their applications
  • masters excellently the mathematical methods of the course
  • can apply his/her acquired knowledge and methods into various situations
  • understands scientific and technological articles of the fields studied in the course

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 08.03.2020

  • 5 credits

  Group(s)

  • LUMA

  Seats

  0 - 40

  Teacher(s)

  Ari Koistinen, Juha Kopu

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Functional Programming TX00CR61-3006 21.10.2019-15.12.2019  5 credits  (TIVI-ELECT, ...) + -
  Learning outcomes of the course

  Upon completion of the course the students have understanding of the functional programming paradigma and benefits that this paradigma offers. Students have the ability to use the functional fetatures in practice with some programming languages.

  Prerequisites and co-requisites

  Basic programming skills.

  Course contents

  Functional programming paradigma
  Lambda calculus
  Functional features in different programming languages
  Pure functional programming languages

  Assessment criteria

  Satisfactory

  The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.

  Good

  The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.

  Excellent

  The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.

  Further information

  Tieto- ja viestintätekniikan tutkinto-ohjelman valinnainen opintojakso. (not translated)

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TIVI-ELECT
  • TVT17K-O

  Seats

  0 - 40

  Teacher(s)

  Peter Hjort

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Fundamentals of Digital Media TX00CD61-3007 26.08.2019-13.10.2019  15 credits  (TVT18-M) + -
  Learning outcomes of the course

  After the course the students have achieved competence, which is capable of producing, and post-processed photos, short video clips, sound files, and dtp pages. They understand the production process and the necessary technologies, principles and concepts, as well as how to use development tools to solve the tasks. The students have adopted the principles of team work, and are able to work as part of a small development team.

  Course contents

  - Digital media production process and tools
  - The intended use of file formats and compression methods
  - Proper use of digital camera and video camera
  - Recording and editing digital audio
  - Photo- and video-editing and post-processing
  - Basics of desk top publishing and storing files in pdf format
  - Graphic design
  - Digital press
  
  This course week's theme starts with physics which deals with the same topic as the other exercises during the week. The students are given information about the digital media production process and tools. During the two last weeks of this period there will be a project work related to video and sound, as well as digital printing. Learning is supported, if necessary, by other methods, such as e-learning.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. The students recognizes, are able to define and use the subject matter of the course concepts and models. The students understands the criteria and principles of developing expertise.

  Good

  Students have achieved the objectives of the course well, even though the knowledge and skills is one of the areas for improvement. The students are able to define the very subject matter of the course concepts and models and are able to make an informed analysis. Students have the ability to apply what they have learned in leisure, study and work situations. The students understand the importance of expertise in the field of information technology and are able analyze their own expertise.

  Excellent

  Students have achieved the objectives of the course excellently. The students knows excellently the course subject matter concepts and models. The students are able to analyze fluently and correctly and to make concrete development measures. The students are well prepared to apply their leisure, study and work situations. The students are able to analyze the ICT industry expertise and its own experts to grow.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TVT18-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Mika Seppälä, Juha Kopu, Toni Spännäri

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Fundamentals of Web Development TX00CD62-3007 21.10.2019-15.12.2019  15 credits  (TVT18-M) + -
  Learning outcomes of the course

  After the course the students have achieved competence with which he/she is able to create dynamic database driven web service. The students understand the development process and appropriate technologies related to the principles and concepts, as well as how to use development tools to solve the task. The students have adopted an agile team work, and are able to work as part of a small development team.

  Prerequisites and co-requisites

  - First-year Object-oriented programming and Game courses
  - Fundamentals of Digital Media -course

  Course contents

  - Web service development process and tools
  - Web technologies
  - Information Management
  - Server Programming
  - Browser programming
  During the course the teamwork software project, such as e-commerce. The course provides information on a relatively large web service development process and tools. The project is a platform for web technologies, information management, and server and the browser programming concepts habit. Learning is supported, if necessary, by other means like e-learning.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. The students recognizes, are able to define and use the subject matter of the course concepts and models. The students understands the criteria and principles of developing expertise.

  Good

  Students have achieved the objectives of the course well, even though the knowledge and skills is one of the areas for improvement. The students are able to define the very subject matter of the course concepts and models and are able to make an informed analysis. Students have the ability to apply what they have learned in leisure, study and work situations. The students understands the importance of expertise in the field of information technology and are able analyze their own expertise.

  Excellent

  Students have achieved the objectives of the course excellently. The students knows excellently the course subject matter concepts and models. The students are able to analyze fluently and correctly and to make concrete development measures. The students are well prepared to apply their leisure, study and work situations. The students are able to analyze the ICT industry expertise and its own experts to grow.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TVT18-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Ulla Sederlöf, Aarne Klemetti, Vesa Ollikainen, Jaakko Pitkänen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Business TX00CR52-3005 16.03.2020-10.05.2020  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  On completion of the course student will understand basic principles of game industry, recognise tools for driving business and customerships within the industry and be able to apply acquired knowledge in practice. Student will understand the basics of game development. Student has readiness to produce game products and concepts as well as develop earnings models to game market.

  Course contents

  - Game industry as business
  - Development of customerships
  - Development, conceptualisation and production of games

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 15.03.2020

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  tivi virtuaali::mediatekniikka

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Design TX00CD87-3014 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT2) + -
  Learning outcomes of the course

  Student can appreciate importance of game design as a part of game production process. He understands principles of game design and role of game designer. Student is able to critically analyze game ideas. He is aware of monetization mechanisms.

  Prerequisites and co-requisites

  First year studies (Orientation to information and communication technology) or comparable knowledge.

  Course contents

  • Game production process
  • Principles of game design
  • Role of game designer
  • Game and player types
  • Gamification and serious games
  • Basics of game business and monetization
  • Usability in games
  • Game design project

  Assessment criteria

  Satisfactory

  Student can evaluate games from different perspectives. He is aware of game design principles and role of game designer.

  Good

  Student can design interesting game ideas. He is well aware of game design principles and role of game designer.

  Excellent

  Student can design high class game ideas, and can analyze them deeply. He is able to combine design and monetization perspectives. He is well aware of game design principles and role of game designer.

  Further information

  Course includes a game design project that may be utilized in other courses.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT2

  Seats

  0 - 40

  Teacher(s)

  tivi virtuaali::mediatekniikka

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Design TX00CD87-3011 26.08.2019-13.10.2019  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student can appreciate importance of game design as a part of game production process. He understands principles of game design and role of game designer. Student is able to critically analyze game ideas. He is aware of monetization mechanisms.

  Prerequisites and co-requisites

  First year studies (Orientation to information and communication technology) or comparable knowledge.

  Course contents

  • Game production process
  • Principles of game design
  • Role of game designer
  • Game and player types
  • Gamification and serious games
  • Basics of game business and monetization
  • Usability in games
  • Game design project

  Assessment criteria

  Satisfactory

  Student can evaluate games from different perspectives. He is aware of game design principles and role of game designer.

  Good

  Student can design interesting game ideas. He is well aware of game design principles and role of game designer.

  Excellent

  Student can design high class game ideas, and can analyze them deeply. He is able to combine design and monetization perspectives. He is well aware of game design principles and role of game designer.

  Further information

  Course includes a game design project that may be utilized in other courses.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 40

  Teacher(s)

  Joonas Häll

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3009 26.08.2019-13.10.2019  15 credits  (TXK19S1-D) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TXK19S1-D

  Seats

  0 - 36

  Teacher(s)

  Heini Puuska, Mikko Pere, Juha Kopu, Ulla Forsström, Matti Peltoniemi, Jonita Martelius

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

•     Game Development TX00DJ96-3010 21.10.2019-15.12.2019  15 credits  (TXK19S1-A) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TXK19S1-A

  Seats

  0 - 36

  Teacher(s)

  Heini Puuska, Mikko Pere, Heikki Lauranto, Ulla Forsström, Jonita Martelius, Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

•     Game Development TX00DJ96-3011 21.10.2019-15.12.2019  15 credits  (TXK19S1-E) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TXK19S1-E

  Seats

  0 - 36

  Teacher(s)

  Heini Puuska, Sonja Holappa, Heikki Lauranto, Ulla Forsström, Miikka Mäki-Uuro, Birgitta Nenonen-Andersson

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

•     Game Development TX00DJ96-3007 21.10.2019-15.12.2019  15 credits  (TXK19K1-A) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 25.10.2019

  • 15 credits

  Group(s)

  • TXK19K1-A

  Seats

  0 - 35

  Teacher(s)

  Mikko Pere, Sonja Holappa, Juha Kopu, Ulla Forsström, Matti Peltoniemi, Kari Aaltonen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3012 26.08.2019-13.10.2019  15 credits  (TXK19K1-C) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 15 credits

  Group(s)

  • TXK19K1-C

  Seats

  0 - 35

  Teacher(s)

  Heini Puuska, Timo Salin, Ulla Paatola, Ulla Forsström, Jorma Räty, Birgitta Nenonen-Andersson

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3013 16.03.2020-10.05.2020  15 credits  (TXK19S1-B) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  25.11.2019 - 12.01.2020

  • 15 credits

  Group(s)

  • TXK19S1-B

  Seats

  0 - 35

  Teacher(s)

  Timo Salin, Heini Puuska, Anne Perälampi, Ulla Forsström, Birgitta Nenonen-Andersson, Jorma Räty

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3014 13.01.2020-15.03.2020  15 credits  (TXK19S1-C) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  25.11.2019 - 12.01.2020

  • 15 credits

  Group(s)

  • TXK19S1-C

  Seats

  0 - 35

  Teacher(s)

  Ulla Paatola, Juha Kopu, Ulla Forsström, Matti Peltoniemi, Birgitta Nenonen-Andersson, Kari Aaltonen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3016 13.01.2020-15.03.2020  15 credits  (TXK20K1-B) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TXK20K1-B

  Teacher(s)

  Heini Puuska, Heikki Lauranto, Ulla Forsström, Jonita Martelius, Birgitta Nenonen-Andersson, Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3017 16.03.2020-10.05.2020  15 credits  (TXK20K1-C) + -
  Learning outcomes of the course

  After completing this course student knows basics of relation databases and object-oriented programming and can develop basic game and has skills to communicate both written and orally. Student knows how to examine phenomenons scientifically and is able to solve simple technical problems. Student knows how to act as a member of a group and communicate properly using english language bot written and orally.
  
  This course gives overall picture of different work assignments, companies and business models in the game industry.

  Course contents

  - C# object oriented programming
  - Basics of relation databases
  - Game development tools and project
  - Communication in English and development of presentation skills
  - Concept of StartUp business model
  - Basics of Mathematics and Physics. The contents of 1st year Mathematics and Physics are:
  * Mathematics: basics of algebra, functions, vectors, matrices
  * Physics: mechanics, electricity, oscillations and wave
  
  During the course a basic game is developed as a project.

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  01.01.2019 - 01.01.2019

  • 15 credits

  Group(s)

  • TXK20K1-C

  Teacher(s)

  Heini Puuska, Ulla Paatola, Heikki Lauranto, Ulla Forsström, Birgitta Nenonen-Andersson, Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Engines TX00CD89-3014 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT2) + -
  Learning outcomes of the course

  Student understands what kind of game engines and libraries are available, and thoroughly learns to use one particular engine. Student also learns basics of 2D and 3D graphics, and can manage the workflow between different tools.

  Course contents

  • Types and architectures of game engines and game libraries
  • Utilizing specific game engine, its capabilities and limitations (e.g. Unity)
  • Game programming with specific engine (e.g. Unity/C#)
  • Basics of 2D and 3D graphics
  • Basics of 3D animation
  • Workflow between different tools
  • Game implementation project

  Assessment criteria

  Satisfactory

  Student is able to implement a simple game under supervision. He understands basics of 2D and 3D graphics.

  Good

  Student is able to implement a game on his own. He understands well basics of 2D and 3D graphics.

  Excellent

  Student is able to implement a game on his own, fully utilizing game engine capabilities. He understands basics of 2D and 3D graphics excellently.

  Further information

  Course includes a game implementation project.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT2

  Seats

  0 - 40

  Teacher(s)

  Antti Veräjänkorva

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Engines TX00CD89-3011 21.10.2019-15.12.2019  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student understands what kind of game engines and libraries are available, and thoroughly learns to use one particular engine. Student also learns basics of 2D and 3D graphics, and can manage the workflow between different tools.

  Course contents

  • Types and architectures of game engines and game libraries
  • Utilizing specific game engine, its capabilities and limitations (e.g. Unity)
  • Game programming with specific engine (e.g. Unity/C#)
  • Basics of 2D and 3D graphics
  • Basics of 3D animation
  • Workflow between different tools
  • Game implementation project

  Assessment criteria

  Satisfactory

  Student is able to implement a simple game under supervision. He understands basics of 2D and 3D graphics.

  Good

  Student is able to implement a game on his own. He understands well basics of 2D and 3D graphics.

  Excellent

  Student is able to implement a game on his own, fully utilizing game engine capabilities. He understands basics of 2D and 3D graphics excellently.

  Further information

  Course includes a game implementation project.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 40

  Teacher(s)

  Antti Laiho

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Mathematics TX00CD91-3008 26.08.2019-13.10.2019  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  The main objective of the course is to enhance mathematical knowledge and skills of the first year’s studies from the point of view of game programming. The student will understand mathematical principles in image formation (—> computer graphics), describing motion and collision of objects, and he or she will be able to apply them on a computer. In addition to these the student will learn fundamentals of logical structures and graph theory.

  Prerequisites and co-requisites

  First year studies (Orientation to information and communication technology) or comparable knowledge.

  Course contents

  1) Concepts of matrix and vector with applications
  2) Projections in practice
  3) 2D and 3D matrix transforms
  4) Fundamentals of logic and graph theory

  Assessment criteria

  Satisfactory

  The student knows and understands the key concepts dealt in the course and knows how to apply them in simple modelling problems.

  Good

  The student is able to adopt and combine new knowledge and skills required in more demanding applications. He or she knows many practices of the subject.

  Excellent

  The student knows thoroughly the contents of the subject dealt in the course with the practical skills needed to perform tasks on a computer. He or she is motivated to use and develop one’s knowledge and skills independently.

  Further information

  The student will apply, what he or she has learned, with a computer.

  ---

  Name of lecturer(s)

  Jaakko Pitkänen

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 40

  Teacher(s)

  Jaakko Pitkänen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Physics TX00CD88-3007 21.10.2019-15.12.2019  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  The course supplements the student’s first year’s curriculum in physics. After completing the course, the student
  
  - appreciates the key role of physics in realistic description of motion, as required in modern game programming
  - is familiar with the terminology and theoretical background of common physics engines
  - is able to model and compute the trajectories and collisions of objects using laws of physics
  - is capable of estimating the amount of computational resources necessary for physics calculations on various levels

  Prerequisites and co-requisites

  First year studies (Orientation to information and communication technology) or comparable knowledge.

  Course contents

  - recognizing and modelling different types of forces
  - particle motion in a force field
  - collisions between objects
  - rotational motion
  - rigid body dynamics
  - numerical computation of trajectories in animations

  Assessment criteria

  Satisfactory

  The student is familiar with the most essential concepts introduced during the course, and is able to employ them in analyzing simple situations involving object motion.

  Good

  The student is able to combine different subjects included in the course material, and is capable of utilizing this knowledge in creating more advanced computer animations.

  Excellent

  In addition to a thorough understanding of all the relevant concepts introduced in the course, the student exhibits independent ability and motivation to further improve his/her understanding beyond the course’s contents.

  ---

  Name of lecturer(s)

  Juha Kopu

  Mode of delivery

  Face-to-face

  Recommended or required reading

  weekly handouts

  Planned learning activities and teaching methods

  lectures
  problem-oriented teaching

  Assessment methods and criteria

  weekly exercises (continuous assessment)
  programming assignment
  written exam

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 40

  Teacher(s)

  Juha Kopu

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Work placement(s)

  N/A

  Exam schedule

  TBA

  International connections

  N/A

•     Game Programming and AI TX00CG88-3005 26.08.2019-13.10.2019  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  Student learns principles of various artificial intelligence techniques that are applicable in games. In practice, he/she is able to choose and implement necessary techniques in game programming projects. He/she knows basics in machine learning.

  Course contents

  The course covers various artificial intelligence techniques in computer games. Student will get both a solid theoretical foundation in AI and hands on experience in building working AI systems. Topics will include movement algorithms, path finding, decision making algorithms, game trees and machine learning

  Assessment criteria

  Satisfactory

  Student has learned the most important AI techniques covered, both in theory and in practice. Student is able to apply AI techniques in simple situations.

  Good

  Student has learned most of the AI techniques covered, both in theory and in practice. Student is able to apply AI techniques in his own gaming projects.

  Excellent

  Student has learned all the AI techniques covered, both in theory and in practice. Student is able to apply and modify AI techniques in his own gaming projects.

  Further information

  Data structures and algorithms, C++

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  Miikka Mäki-Uuro

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Programming with Unity TT00DU32-3002 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  During the course student gets familiar with basic usage of Unity Game Engine. In order to develope a game, various skills are required from the programmer and other personnel involved developing game, and also game engine are used in a different ways. Unity can be used to create game level fields, graphics and images and 3D models, and writing code. You don't have to be expert in every field of Unity, you can specialize in certain part and functionality of Unity.

  Prerequisites and co-requisites

  None

  Course contents

  1. Basics of Unity
  2. Unity as Field editor
  3. Components and physics simulations
  4. Basics of Programming with Unity
  5. Scripts.
  6. Scripts - Driving Game

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Self-Study online course in Viope.
  NOTICE! Course material is in Finnish

  Assessment methods and criteria

  Kurssista saa hyväksytty merkinnän kun siitä on suoritettu vähintään 80% (not translated)

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  29.04.2019 - 30.04.2019

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 5000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ILMOITTAUTUMINEN
  - Avoimen AMK:n sekä CampusOnline opiskelijat: e-lomake
  - Metropolian tutkinto-opiskelijat: https://vw4.viope.com/login?org=metropolia. Rekisteröidy klikkaamalla sisäänkirjautumisikkunan vasemmasta laidasta Ilmoittaudu kurssille (Enroll on the Course). Valitse jokin Viope-kurssi, jonka lopussa lukee tämä täsmenne: (NonStop). Täytä muut tähdellä merkityt kohdat. Nyt voit aloittaa myös muita Viopen ohjelmointikursseja, joissa on sama täsmenne (NonStop). (not translated)

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.
  NOTICE! Course material is in Finnish

  Content periodicity

  NOTICE! Course material is in Finnish
  1. Basics of Unity
  2. Unity as Field editor
  3. Components and physics simulations
  4. Basics of Programming with Unity
  5. Scripts.
  6. Scripts - Driving Game

•     Game Project TX00CG87-3009 13.01.2020-15.03.2020  5 credits  (TIVI-ELECT2) + -
  Learning outcomes of the course

  Student participates in a game development project. The project will implemented using agile methods, and various tool for version control, integration, and testing. Project team will plan and execute game testing. The game is intended to be published in a digital market place.

  Course contents

  • platform, programming language, and tools specific for the game
  • project management methods and tools
  • player centered design and testing
  • publishing in digital market place

  Assessment criteria

  Satisfactory

  Student’s effort in the project satisfies minimum requirements.

  Good

  Student is an active member of the project team. He has a clear role which he fulfills.

  Excellent

  Student has an important and innovative role in the project. He works in an exemplary fashion.

  Further information

  The project work may be combined with other courses.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Group(s)

  • TIVI-ELECT2

  Seats

  0 - 40

  Teacher(s)

  tivi virtuaali::mediatekniikka

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Project TX00CR65-3004 16.03.2020-10.05.2020  15 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Student participates in a game development project. The project will implemented using agile methods, and various tool for version control, integration, and testing. Project team will plan and execute game testing. The game is intended to be published in a digital market place.

  Course contents

  • platform, programming language, and tools specific for the game
  • project management methods and tools
  • player centered design and testing
  • publishing in digital market place

  Assessment criteria

  Satisfactory

  Student’s effort in the project satisfies minimum requirements.

  Good

  Student is an active member of the project team. He has a clear role which he fulfills.

  Excellent

  Student has an important and innovative role in the project. He works in an exemplary fashion.

  Further information

  The project work may be combined with other courses.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 15 credits

  Group(s)

  • TVT18-PE

  Seats

  0 - 42

  Teacher(s)

  Antti Laiho, tivi virtuaali::mediatekniikka, Miikka Mäki-Uuro

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game Project TX00CG87-3010 01.01.2020-31.12.2020  5 credits + -
  Learning outcomes of the course

  Student participates in a game development project. The project will implemented using agile methods, and various tool for version control, integration, and testing. Project team will plan and execute game testing. The game is intended to be published in a digital market place.

  Course contents

  • platform, programming language, and tools specific for the game
  • project management methods and tools
  • player centered design and testing
  • publishing in digital market place

  Assessment criteria

  Satisfactory

  Student’s effort in the project satisfies minimum requirements.

  Good

  Student is an active member of the project team. He has a clear role which he fulfills.

  Excellent

  Student has an important and innovative role in the project. He works in an exemplary fashion.

  Further information

  The project work may be combined with other courses.

  ---

  Name of lecturer(s)

  Antti Laiho

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.07.2019 - 02.07.2019

  • 5 credits

  Teacher(s)

  Antti Laiho

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Server Programming TX00CG90-3005 26.08.2019-13.10.2019  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  After completing this course student:
  - Can define and build background systems for games
  - Can work with stable and safe technologies that are used with background systems
  - Can build web service based on REST architecture
  - Can create NoSQL database and use MongoDB database to store and read data for scalable games.
  - Can extend Photon Server with custom web service and plugins

  Prerequisites and co-requisites

  Tietokannat ja pelipalvelimet, tietorakenteet ja algoritmit, ohjelmistoarkkitehtuurit ja -mallit

  Course contents

  Content of the course includes topics like building scalable and safe background systems, cloud services and security and examples of typical background solutions of different games. The course includes also overview to NoSQL databases and detailed usage of MongoDB. During the course will be built web service based on REST architecture that saves and reads data from MongoDB database and works expansion for Photon Server.

  Assessment criteria

  Satisfactory

  - Student understands basics of game background systems
  - Student has been active on the course

  Good

  - Student has good knowledge of game background systems and can solve practical problems
  - Students has passed required basic tasks

  Excellent

  - Student as adapted course topics very well
  - Students has proven to be able to solve challenging tasks during course using skill learned on the course

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  Ville Sillanpää

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Game design and gamefication TT00DT54-3002 01.01.2020-31.12.2020  10 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course, student can create valid game ideas, create a concept for them and understand what makes a good game or a game idea and knows methods how to improve it.

  Prerequisites and co-requisites

  None. Any experience developing, playing or analysing games helps. Course suites interest in any genre or platform.

  Course contents

  Video Game Designer course teaches you the secrets to game design and can used both for game design and gamefication. Your educator is a highly experienced game designer who has worked on 100 published titles and received 30 industry awards. The course offers a very practical approach to learn game design and covers following areas:
  - game design theory
  - ideas and concepts and how to evaluate those
  - game designers work, what does it contain
  - concept and design documents, what is essential
  - how to be a good designer and how to design a good game
  - monetisation and free to play (F2P)
  - level design
  - game design tools & methods
  - game design process and production
  - creating storyline, game texts or storybaords
  - learn by examples
  - lots of excercise
  - templates, video and other material

  Assessment criteria

  Satisfactory

  Student can deliver game concept which hold game but may lack focus, can be contrabictive with itself or provides a game already created . Game concept lacks a meaningful long term goal, core gameplay or the idea is not unique or game becomes soon repetetive.

  Good

  Student delivers solid game concept, but lacks one key area in the game concept being like focus, uniqueness or a game missing some key areas.

  Excellent

  Student can deliver a commercially potential game concept by creating a new unique game idea that has not yet been done or identifies a gap or need in the market or just holds a great game idea. Game concept provides a solid game core with clear and meaningful goal to the player, and the concept holds the focus in an understandable and easy to approach methed. Also student understand monetisation mechanics and can create a valid meta game.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Planned learning activities and teaching methods

  100% Online (Self-Study) course

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  19.02.2019 - 20.03.2019

  • 10 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Not for Metropolia's Degree Students

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  10 credits

  Evaluation scale

  0-5

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

  Students use of time and load

  Depends of Student her-/himself

  Content periodicity

  Depends of Student her-/himself

•     Google G Suite Connect TT00DP95-3002 01.01.2020-20.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course, students has ability to use Google G Suite Connect -tools in his/her work, and studies.

  Course contents

  Connect-Part of G Suite, including:
  
  - Gmail
  - Cloud Search
  - Hangoouts
  - Calender
  - Groups
  - Google+

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Can be find on Moodle

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 20.12.2020

  Enrollment date

  02.07.2019 - 31.07.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 100

  Teacher(s)

  Ari Moilanen

  Further information for students

  ENROLMENTS
  
  Open UAS Student via efrom
  
  Metropolia's Degree Students direct in Viope
  • Go to https://moodle.metropolia.fi/enrol/index.php?id=10328
  • Enrolment key: G-Suite-Connect-2020
  • Course material is in English but you can return your assignments with Finnish version.
  
  After you have finish your course, you shall sent a message to course teacher ari.moilanen@metropolia.fi Teacher shall check out your assignments during a week and he will give you mark Pass if all assignments has been done correctly.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

  Students use of time and load

  This is Self-Study online course, so timetable is totally up to student.

  Content periodicity

  This is Self-Study online course, so it is totally up to student.

•     Google G Suite Create TT00DO75-3003 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  - G Suite Create environment
  - G Suite Create components and services
  - Utilizing G Suite Create services at management of documents
  - Connections to other services

  Course contents

  Google G Suite Create environment Google Drive, Google Docs, Google Sheets, Google Slides

  Further information

  Grading Approved/Fail

  ---

  Name of lecturer(s)

  Ari Moilanen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.07.2018 - 02.07.2018

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Ari Moilanen

  Further information for students

  ENROLLING
  
  Open UAS Students via eform
  
  Metropolia's Degree Students direct in Moodle
  
  - Go to: https://moodle.metropolia.fi/course/view.php?id=10082
  - Course key: G-Suite-Create-2020
  - After you have done all of the exercises and return them in Moodle, please sent e-mail to ari.moilanen@metropolia.fi
  - Grading is pass/fail

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Can be find in Moodle.

  International connections

  N/A

  Students use of time and load

  Up to Student - course is online (Self-Study) course.

  Content periodicity

  Up to Student - course is online (Self-Study) course.

•     Graphics Programming TX00CG89-3005 21.10.2019-15.12.2019  5 credits  (TVT17-PE) + -
  Learning outcomes of the course

  The student learns the principles and programming methods for producing 3D graphics

  Prerequisites and co-requisites

  Data Structures and Algorithms, Fundamentals of Programming, C++ programming

  Course contents

  - graphics APIs
  - projections and transformations
  - lighting models and texture mapping
  - shader programming

  Assessment criteria

  Satisfactory

  Graphics APIs:
  - The student can produce simple 3D graphics using OpenGL library
  
  Projections and transformations:
  - The student knows what projections and transformations are
  
  Lighting models and texture mapping:
  - The student knows what lighting model and texture mapping are

  Good

  Graphics APIs:
  - The student can produce 3D graphics using OpenGL library
  
  Projections and transformations:
  - The student knows what projections and transformations are and is able to define them with OpenGL library
  
  Lighting models and texture mapping:
  - The student knows what lighting model and texture mapping are

  Excellent

  Graphics APIs:
  - The student can produce 3D graphics using OpenGL library
  
  Projections and transformations:
  - The student knows what projections and transformations are and is able to define them with OpenGL library
  
  Lighting models and texture mapping:
  - The student knows what lighting model and texture mapping are and is able to define them with OpenGL library

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 40

  Teacher(s)

  Antti Veräjänkorva

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Health Robotics TX00CG38-3005 26.08.2019-13.10.2019  5 credits  (TVT17-H) + -
  Learning outcomes of the course

  After completing the course, the student knows basics of robotics, recognizes health related robotics solutions, understands customer and usability perspectives, is familiar with opportunities and challenges in health robotics, and applies knowledge in future robotic applications design, implementation and utilization projects.

  Course contents

  • Various robotics applications and solutions
  • Health robotic fundamentals and usage
  • Special features of the application environment
  • Ethics and responsibility issues of health robotics
  • Future perspectives

  Assessment criteria

  Satisfactory

  Student recognizes health robotics basics, identifies health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge.

  Good

  Student knows health robotics basics, understands health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge.

  Excellent

  Student thoroughly knows health robotics basics, has a high-level understanding of health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • TVT17-H

  Seats

  0 - 40

  Teacher(s)

  Päivi Laine, Timo Kasurinen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Health Technology Project 1 TX00CG27-3007 21.10.2019-15.12.2019  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student knows project management principles, uses team and project work skills, applies the knowledge and skills learned in this study module to the project focusing on human functionality measurement, and understands stakeholders’ roles and perspectives in the project.

  Course contents

  • Practice-oriented project
  • Product and service development
  • Team and project work
  • Project management
  • Project documentation

  Assessment criteria

  Satisfactory

  Student has basic knowledge of team and project work skills and project management principles, and is part of a project team.

  Good

  Student knows team and project work skills and project management principles, and applies the knowledge and skills learned in this study module in the project.

  Excellent

  Student thoroughly knows team and project work skills and project management principles, and applies and develops the knowledge and skills learned in this study module in the project in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Mikael Soini, Juha Havukumpu

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Health Technology Project 2 TX00CG33-3006 16.03.2020-10.05.2020  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student applies team and project work skills, applies the knowledge and skills learned in this study module in the project work focusing on health related ICT solutions, understands basics of project leadership and financial management, recognizes project funding instruments, and understands stakeholders’ roles and perspectives in the project.

  Course contents

  • Practice-oriented project
  • Health ICT solutions
  • Project leadership and management
  • Project financial management
  • Project funding

  Assessment criteria

  Satisfactory

  Student uses team and project work skills, is part of a team in the project, and recognizes project leadership and financial management basics.

  Good

  Student applies team and project work skills, applies the knowledge and skills learned in this study module in the project, and understands project leadership and financial management basics.

  Excellent

  Student applies and develops team and project work skills, applies and develops the knowledge and skills learned in this study module in the project in advanced manner, understands and utilizes project leadership and financial management basics.

  ---

  Name of lecturer(s)

  Mikael Soini

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  16.03.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 13.03.2020

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Ulla Sederlöf, Mikael Soini, Kari Aaltonen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Health Technology Project 3 TX00CG39-3005 21.10.2019-15.12.2019  5 credits  (TVT17-H) + -
  Learning outcomes of the course

  After completing the course, the student applies team and project work skills, applies the knowledge and skills learned in this study module in the project work focusing on medical device development, understands authorities controlling product development and stakeholders’ roles and perspectives, and understands and uses quality and risk management basics in the project.

  Course contents

  • Practice-oriented project
  • Medical devices
  • Medical device related statutes, decrees, directives and regulating authorities
  • Quality control and related standards
  • Risk assessment

  Assessment criteria

  Satisfactory

  Student uses team and project work skills, is part of a team in the project, and recognizes authority specifications and quality and risk management basics in the project.

  Good

  Student applies team and project work skills, applies the knowledge and skills learned in this study module in the project, and understands authority specifications and quality and risk management basics in the project.

  Excellent

  Student applies and develops team and project work skills, applies and develops the knowledge and skills learned in this study module in the project in advanced manner, and understands and utilizes authority specifications and quality and risk management basics in the project.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • TVT17-H

  Seats

  0 - 40

  Teacher(s)

  Matti Fischer, Mikael Soini

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Home Automation with ESP 8266 Workshop TX00DT60-3001 19.08.2019-23.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  Student learns how to use ESP8266 system on home automation applications.

  Prerequisites and co-requisites

  Recommended precondition: Basic skills in C, C++ or similar programing languages. Basic knowledge in Digital Technology
  
  Addressed to: everyone who wants to get into programming and using microcontrollers in practice.

  Course contents

  Session 1:
  Introducing the ESP8266: Summary of it’s hardware and features, summary of the programming toolchain.
  Practical exercise: Learn how to use the Arduino toolchain, how to program and upload your first program, how to debug your program via serial port.
  Program Blinky – Our first program: Blink the ?c’s onboard led. Program Blinky 2 – Read an analog input value (voltage) and change the blinking frequency.
  Required hardware: Breadboard, NodeMCU12e, potentiometer.
  
  Session 2:
  PWM-basics, circuit design to control a power led’s brightness, programming a low pass filter for measurement values, i2c basics.
  Practical exercise: Learn how to prototype a circuit using a breadboard, and how to filter measurement values. Program Light up! – Controls a power-led’s brightness. Program Light up! Extended – Adds an OLED display with i2c interface to the led controller. Required hardware: Breadboard, NodeMCU12e, potentiometer, resistors, transistor, power led, OLED-display.
  
  Session 3:
  Basics one-wire-bus, a little bit HTTP und HTML,
  Practical exercise: Learn how to use the DHT22 sensor and how to program a simple webserver. Program Roomy – Measures the room’s temperature and humidity, outputs measurement values to an OLED-display. Program WebRoomy – Adds a webserver and a website for measurement value visualization.. Required hardware: Breadboard, NodeMCU12e, DHT22, OLED-Display
  
  Session 4:
  MQTT messaging protocol basics.
  Practical exercise: Learn how to program a MQTT publisher and subscriber to distribute sensor data. Program PubCuty – Publishes sensor data via MQT. Program SubCuty – Subscribes sensor data via MQTT. Required hardware: Breadboard, NodeMCU12e, DHT22, OLED-Display, Raspberry Pi + Mosquito MQTT-Broker.
  
  Session 5:
  Introducing Node-Red – a browser based editor to manage IoT-data flow.
  Practical exercise: Learn how to build a browser based MQTT dashboard.
  Required hardware: Breadboard, NodeMCU12e, DHT22, OLED-Display, PC with MQTT-Broker + Node-Red Runtime.

  Assessment criteria

  Satisfactory

  Attendance on all laboratory sessions.
  Completing practical exercises.

  Good

  Active attendance on all laboratory sessions.
  Completing all practical exercises.
  Demonstrating good skills in tool usage and problem solving.

  Excellent

  Active attendance on all laboratory sessions.
  Completing all practical exercises.
  Demonstrating excellent skills in tool usage and problem solving.

  ---

  Mode of delivery

  Face-to-face

  Planned learning activities and teaching methods

  Intensive 1 week course with lab exercises.

  Language of instruction

  English

  Timing

  19.08.2019 - 23.08.2019

  Enrollment date

  02.05.2019 - 18.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 20

  Teacher(s)

  Wolfram Becker, Antti Piironen

  Further information for students

  Bring your own laptop.

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     ICT Physical Applications TX00AA27-3010 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  During completion of this course the student learns the significance of natural phenomena in ICT in a comprehensive way. The student learns to model some typical phenomena in this field, to analyze measurement data and to use basic measurement devices and software.

  Course contents

  - natural phenomena related to telecommunication, sensors and measurement technology;
  - contemporary applications in the field of ICT;
  - laboratory exercises related to the course contents;
  - collection, management, and analysis of data;
  - laboratory equipment and experimental laboratory techniques

  Assessment criteria

  Satisfactory

  The student is familiar with the basic concepts of ICT . He/she understands the basic phenomena in the field. He knows how to solve simple problems related to electricity.

  Good

  Besides the above, the student is capable of applying the fundamental laws of ICT in less simple problems. He knows how to explain the basic phenomena.

  Excellent

  In addition to the aforementioned requirements the student is also capable of solving more challenging problems that require applying the concepts and methods of various different topics simultaneously. He is also capable of dealing with novel problems that significantly differ from the ones examined during the course. Furthermore, the student is capable of presenting the solutions to the problems in a logical and coherent manner, thus demonstrating that he/she has a deeper understanding on the contents of the course.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Esimerkiksi, erilaiset anturit tai vaikkapa ilmakehän mittaukseen perustuvat anturit ovat mielenkiintoinen lähestymistapa asiaan. (not translated)

  Planned learning activities and teaching methods

  Studens have to do article overviewed according to its logical structure, the model used in the research and methods for analysis and research.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLMENTS
  
  Metropolia's Degree Student
  
  1. Introduction - and aims of the article
  2. Contents - of the article overviewed according to its logical structure, the model used in the research and methods for analysis and research
  3. Results - contribution of the research, what is new, its scientific value, conclusions.
  4. Evaluation - your own opinion and critical evaluation of clarity, readability and results of the article.
  
  Return essee to Janne Salonen janne.salonen@metropolia.fi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     IT Security (virtual course) TX00CO18-3006 26.08.2019-15.12.2019  5 credits  (ICT16-N) + -
  Learning outcomes of the course

  The student is familiar with general aspects of information security:
  Risk assessment and security management, Security mechanisms, User authentication and access control, Security algorithms, protocols and standards

  Course contents

  Definition of information security and information security process. Security requirements, risk analysis and information protection mechanisms. Risk assesment. Introduction to cryptography; symmetric and asymmetric encryption. Certificates and digital signatures. Building up secure information systems.

  Assessment criteria

  Satisfactory

  The student knows the basic concepts of information security. He/she also knows elementary threats to information systems. He/she knows why encryption and digital signature are needed.

  Good

  The student knows how threats can be reduced using different security mechanisms.

  Excellent

  The student knows the principles of risk analysis. He/she knows also how encryption mechanisms work and how digital signature is implemented. He/she understands how simple authentication protocols work.

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  01.05.2019 - 01.09.2019

  • 5 credits

  Group(s)

  • ICT16-N

  Seats

  0 - 50

  Teacher(s)

  Jukka Louhelainen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     IT Service Management TT00CC68-3007 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  After the course, the student:
  - Understands the negotiation situation in ICT services business;
  - Is able to develop service processes according to the industry standards.

  Course contents

  After the course, the student:
  - Understands the negotiation situation in ICT services business;
  - Is able to develop service processes according to the industry standards.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Assessment methods and criteria

  Excercises and Final exam online

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student:
  • Go to: https://moodle.metropolia.fi/course/view.php?id=153
  • Course enrolment key: service
  • Password for the course final exam: Management

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student - course is online (Self-Study) course.

  International connections

  N/A

  Students use of time and load

  Up to Student - course is online (Self-Study) course.

  Content periodicity

  Up to Student - course is online (Self-Study) course.

•     IT Services - Sales and Marketing XX00AD99-3007 01.01.2020-31.03.2020  4 credits + -
  Learning outcomes of the course

  Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.

  Course contents

  Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.
  
  Student participating in the course should comprehend
  - The relevance of customer focused marketing
  - The basic terminology of sales and marketing
  - be able to apply the ideas and concepts to real-life situation

  Assessment criteria

  Satisfactory

  Student participating in the course understand
  - The basics of terminology of IS Services sales and marketing
  - The basics of relevance of customer focused marketing
  - The basics of consumer behavior, perceptions of quality, value drivers and customer satisfaction in the area of IS services.
  - The basics of planning and execution of marketing activities

  Good

  Student participating in the course understand and be able to apply
  -The terminology of IS Services sales and marketing well
  - The relevance of customer focused marketing well
  - The relevance of consumer behavior, perceptions of quality, value drivers and customer satisfaction in the area of IS services well
  - the planning and execution of marketing activities well

  Excellent

  Student participating in the course understand and be able to apply
  - The terminology of IS Services sales and marketing in real-life situation
  - The relevance of customer focused marketing in real-life situation
  - The relevance of consumer behavior, perceptions of quality, value drivers and customer satisfaction in the area of IS services in real-life situation
  - the planning and execution of marketing activities in real-life situation

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.03.2020

  Enrollment date

  02.09.2019 - 02.09.2019

  • 4 credits

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  Further information for students

  Course language is Finnish.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Virtual proportion

  4 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     IT Services - Sales and Marketing TT00EJ10-3001 01.03.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.

  Course contents

  Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.
  
  Student participating in the course should comprehend
  - The relevance of customer focused marketing
  - The basic terminology of sales and marketing
  - be able to apply the ideas and concepts to real-life situation

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Material is online.

  Planned learning activities and teaching methods

  Course is 100% online - SelfStudy course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.03.2020 - 31.12.2020

  Enrollment date

  31.01.2020 - 31.01.2020

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 500

  Teacher(s)

  Virve Prami

  Further information for students

  ILMOITTAUTUMINEN
  
  - Kurssi löytyy osoitteesta: https://moodle.metropolia.fi/course/view.php?id=154
  - Kurssiavain: marketing
  - Kokeen salasana: Quality (not translated)

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Exam can be done whenever is it suitable for student.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  N/A

•     Identity with Windows Server 2016, 70-742 TT00DU89-3001 01.08.2019-31.12.2020  6 credits  (ATX20TV, ...) + -
  Learning outcomes of the course

  This course provides the fundamental networking skills required to deploy and support Windows Server 2016 in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking.

  Course contents

  This course is primarily intended for existing IT professionals who have some AD DS knowledge and experience and who aim to develop knowledge about identity and access technologies in Windows Server 2016. This would typically include:
  
  AD DS administrators who are looking to train in identity and access technologies with Windows Server 2012 or Windows Server 2016.
  
  System or infrastructure administrators with general AD DS experience and knowledge who are looking to cross-train in core and advanced identity and access technologies in Windows Server 2012 or Windows Server 2016.
  
  The secondary audience for this course includes IT professionals who are looking to consolidate their knowledge about AD DS and related technologies, in addition to IT professionals who want to prepare for the 70-742 exam.

  Further information

  Only for Open UAS Students.

  ---

  Name of lecturer(s)

  Tapio Wikström

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  This course utilizes web-based laboratory exercises. The student is accepted to the Practice Lab portal automatically.

  Assessment methods and criteria

  Course is graded Pass/Fail.

  Language of instruction

  English

  Timing

  01.08.2019 - 31.12.2020

  Enrollment date

  02.07.2019 - 31.07.2019

  • 6 credits

  Group(s)

  • ATX20TV
  • ATX19TVH

  Seats

  0 - 100

  Teacher(s)

  Tapio Wikström

  Further information for students

  Note! The course is for Open University students only!

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Image Processing with Matlab TI00CJ15-3005 05.08.2019-09.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  Knowledge and understanding:
  The student will know filtering in both the spatial domain and the frequency domain through exercising mathematical calculation such as convolution and the Discrete Fourier Transform, applying their knowledge to edge detection, image enhancement, noise reduction and so on, including lowpass filtering and highpass filtering.
  
  Skills:
  The student is able to understand basic image processing techniques and use MATLAB programs for them.

  Prerequisites and co-requisites

  Fundamental engineering mathematics

  Course contents

  Core content level:
  How to handle Digital Images in MATLAB, Intensity Transformations, Geometric Spatial Transformations, Linear Spatial Filtering, Nonlinear Spatial Filtering, Convolution, Complex valued plane, Euler’s formula, the Discrete Fourier Transform, Noise Reduction, Lowpass Filtering, Highpass Filtering
  
  Additional content:
  Image Restoration

  Assessment criteria

  Satisfactory

  The student understands filtering in both the spatial domain and the frequency domain after performing mathematical calculation exercises.

  Good

  The student can apply filtering in both the spatial domain and the frequency domain after performing mathematical calculation exercises.

  Excellent

  The student can apply filtering in both the spatial domain and the frequency domain via the Fourier Transform and utilize those methods in edge detection, image enhancement and noise reduction, including lowpass filtering and highpass filtering.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  05.08.2019 - 09.08.2019

  Enrollment date

  02.05.2019 - 04.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Antti Piironen, Hiroyuki Aoki

  Further information for students

  Summer School course

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  Hyväksytty/Hylätty

•     Information Storage and Management TX00DH62-3002 26.08.2019-13.10.2019  4 credits  (TXL16S2) + -
  Learning outcomes of the course

  The student knows the basic principles of storage technology, storage area networks and backup systems. Student also knows the planning and implementation of storage systems in different production environments.

  Prerequisites and co-requisites

  Basic understanding of computing and computer networks.

  Course contents

  The course covers the hard disks, redundant disk systems, storage systems, fiber channel systems, storage area networks, back up systems and managing of storage systems.

  Further information

  The Information Storage and Management Book by EMC Education Service.
  Grading on scale pass/fail

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  course material
  laboratory instructions

  Planned learning activities and teaching methods

  lectures
  laboratory exercises

  Assessment methods and criteria

  Laboratory exercises

  Language of instruction

  English

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 4 credits

  Group(s)

  • TXL16S2

  Seats

  0 - 30

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  Hyväksytty/Hylätty

  Work placement(s)

  EMC Academy

•     Innovation Project XX00BH18-3281 26.08.2019-15.12.2019  10 credits  (ICT16-M, ...) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • ICT16-M
  • ICT16-SW

  Seats

  0 - 40

  Teacher(s)

  Petri Vesikivi

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3282 26.08.2019-15.12.2019  10 credits  (ICT17-N) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • ICT17-N

  Seats

  0 - 40

  Teacher(s)

  Jukka Louhelainen, Marko Uusitalo

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3285 26.08.2019-15.12.2019  10 credits  (TVT16-M) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • TVT16-M

  Seats

  0 - 40

  Teacher(s)

  Hannu Markkanen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3287 26.08.2019-15.12.2019  10 credits  (TVT16-PE) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • TVT16-PE

  Seats

  0 - 40

  Teacher(s)

  Miikka Mäki-Uuro, Kari Aaltonen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3302 26.08.2019-15.12.2019  10 credits  (TVT16-H) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.06.2019

  • 10 credits

  Group(s)

  • TVT16-H

  Seats

  0 - 40

  Teacher(s)

  Sakari Lukkarinen, Päivi Haho, Mikael Soini

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3307 26.08.2019-15.12.2019  10 credits  (TVT16-O) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • TVT16-O

  Seats

  0 - 40

  Teacher(s)

  Heini Puuska, Juha Kämäri, Erja Nikunen, Auvo Häkkinen, Ilpo Kuivanen, Simo Silander, Jorma Räty

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3355 13.01.2020-10.05.2020  10 credits  (TVT17K-O) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  13.01.2020 - 10.05.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 10 credits

  Group(s)

  • TVT17K-O

  Seats

  0 - 35

  Teacher(s)

  Juha Kämäri, Ilpo Kuivanen, Auvo Häkkinen, Simo Silander

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3357 14.01.2020-13.12.2020  10 credits  (TVT17-H) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  14.01.2020 - 13.12.2020

  Enrollment date

  01.05.2020 - 31.05.2020

  • 10 credits

  Group(s)

  • TVT17-H

  Seats

  0 - 40

  Teacher(s)

  Sakari Lukkarinen, Päivi Haho, Mikael Soini, Vesa Ollikainen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Innovation Project XX00BH18-3283 26.08.2019-15.12.2019  10 credits  (ICT16-S) + -
  Learning outcomes of the course

  On completion of the course the student can
  - Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
  The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
  - Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
  - Create a culture of cooperation and negotiation with the team members and other actors.
  - Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

  Course contents

  Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
  Cooperative skills, interest group activities and networking.
  Innovative work methods.
  Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

  Assessment criteria

  Satisfactory

  The student knows the principles of project and network-based work.
  The student recognizes his/her own project- and network-based work competences.
  The student uses co-operation and communication skills in cooperative development processes and decision making.
  The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Good

  The student uses the principles of project and network-based work in regional, national or international development oriented work.
  The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
  The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Excellent

  The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
  The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
  The student understands cooperative negotiation culture and helps to build it with the other actors.
  The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
  The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

  Further information

  Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  26.08.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 01.09.2019

  • 10 credits

  Group(s)

  • ICT16-S

  Seats

  0 - 40

  Teacher(s)

  Antti Piironen

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Installing and Configuring Windows Server TT00CC51-3008 01.01.2020-31.12.2020  6 credits  (ATX20TV) + -
  Learning outcomes of the course

  Student manages installation and configuration of Windows Server

  Course contents

  Install and configure servers, Configure server roles and features, Configure Hyper-V, Deploy and configure core network services, Install and administer Active Directory, Create and manage Group Policy

  Assessment criteria

  Satisfactory

  Student is able to install a Windows Server and configure some of its features and roles

  Good

  Satisfactory plus student is able to configure and install hyper-v, use Windows’ network services and maintain active directory

  Excellent

  Satisfactory plus good plus student is able to maintain and create group policies.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in LabSim environment

  Assessment methods and criteria

  Student have two choices for completion. You can do couple of exercises from each module, and once you have finished, I mark you as completed (I can mark you immediately once you have finished -- please sent an e-mail for me). You can also do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 6 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  6 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  Student have two choices for completion. You can do couple of exercises from each module, and once you have finished, I mark you as completed (I can mark you immediately once you have finished -- please sent an e-mail for me). You can also do the test. This test can be found from the environment.

  Work placement(s)

  N/A

  Exam schedule

  Up to Student

  International connections

  N/A

  Students use of time and load

  Up to Student

  Content periodicity

  Up to Student

•     Intelligent Environments and Applications TX00CG22-3007 26.08.2019-13.10.2019  5 credits  (TVT18-H) + -
  Learning outcomes of the course

  After completing the course, the student knows products and applications related to intelligent environment and physiological measurements, recognizes measurement application business environment, understands wireless communication principles, and applies learned knowledge.

  Course contents

  • Measurement applications and business environment
  • Products, services and applications related to measurements
  • Intelligent living environment measurements
  • Wireless communication
  • Wireless sensors and sensor networks

  Assessment criteria

  Satisfactory

  Student has basic knowledge of products and applications related to intelligent environment and physiological measurements, understands basics of wireless communication principles, and uses learned knowledge.

  Good

  Student knows products, applications and business related to intelligent environment and physiological measurements, understands wireless communication principles, and applies learned knowledge.

  Excellent

  Student thoroughly knows products, applications and business related to intelligent environment and physiological measurements, has high-level understanding of wireless communication principles, and applies learned knowledge in advanced manner.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  26.08.2019 - 13.10.2019

  Enrollment date

  01.01.2019 - 01.01.2019

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Matti Fischer, Mikael Soini

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     International Sensor Development Project TX00CR41-3004 21.10.2019-15.03.2020  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  Students learn how to design, build, test, and document a measurement system. The work is done in groups of 3-4 students.

  Course contents

  Characterization of the system
  -Preliminary design
  -Design aspects
  -Hardware design and implementation
  -Software design and implementation
  -Testing and evaluation of the system

  Assessment criteria

  Satisfactory

  Student understands the challenges of international sensor development and can contribute to the project.

  Good

  Student understands the challenges of international sensor development and can contribute to the project.
  
  Students participates actively and is in responsible of development of a part of the project.

  Excellent

  Student understands the challenges of international sensor development and can contribute to the project.
  
  Students participates actively and is in responsible of development of a part of the project.
  
  Student is capable of designing sensor systems in international working environment.

  ---

  Mode of delivery

  Face-to-face

  Planned learning activities and teaching methods

  .

  Language of instruction

  English

  Timing

  21.10.2019 - 15.03.2020

  Enrollment date

  06.10.2019 - 01.11.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 20

  Teacher(s)

  Antti Piironen, Joseph Hotchkiss

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

  Exam schedule

  Project course, no exams.

  International connections

  Joint implementation with Hochschule Osnabruck, Germany.

•     Internet of Things TX00CI63-3004 21.10.2019-15.12.2019  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  Student can define the core concepts of internet of things (IoT) and the differencies between traditional sensor networks and IoT. She/he is able to design, implement and manage an embedded internet system and understands the core concepts and functionality of cloud services, embedded systems and system management using cloud services.
  Additionally she/he understands the new business models related to IoT.

  Course contents

  - Concepts of embedded internet, internet of things and internet of everything
  - Concept of Big Data
  - Privacy, security and internet of things
  - IoT applications and business opportunities
  - Embedded system and cloud services

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 35

  Teacher(s)

  Joseph Hotchkiss

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Internet of Things (IoT) Project TX00CI65-3004 21.10.2019-15.12.2019  5 credits  (ICT17-S) + -
  Learning outcomes of the course

  The course provides knowledge on Internet of Things applications. On completion of the course students will know the principles of IoT. Students are able to develop applications using machine to machine communications like building automation systems.

  Course contents

  - Embedded computing devices in the existing Internet infrastructure
  - Machine to machine (M2M) communications, control and measurement

  Assessment criteria

  Satisfactory

  Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

  Good

  Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

  Excellent

  Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  21.10.2019 - 15.12.2019

  Enrollment date

  02.05.2019 - 20.10.2019

  • 5 credits

  Group(s)

  • ICT17-S

  Seats

  0 - 35

  Teacher(s)

  Joseph Hotchkiss

  Unit, in charge

  (2016-2018) Information and Communications Technology (ICT)

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Internetworks TX00CD35-3011 13.01.2020-15.03.2020  5 credits  (ICT18-S) + -
  Learning outcomes of the course

  After completing the course the student knows the basics of router management using console connection, configuration and showing the status of the router. Concerning the routed networks, the student knows the basics of RIP, OSPF and EIGRP routing protocols, testing IP-connectivity and troubleshooting. After completing the course the student can design and build small routed networks. The student can connect a local area network into a larger network, configure needed IP and routing parameters.

  Prerequisites and co-requisites

  Local Area Networks

  Course contents

  Routers, basic configuration, static and dynamic routing, default route, routing protocols, testing IP-connectivity, troubleshooting routing, startup sequence of a router, interior gateway protocols, routing loops and elimination of routing loops.

  Assessment criteria

  Satisfactory

  Understands the basic features and arrangements of routing

  Good

  Can configure static and dynamic routing and subnetting.

  Excellent

  Can design and implement small routed IP-networks. Can implement a hierarchical addressing scheme.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 12.01.2020

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 41

  Teacher(s)

  Marko Uusitalo

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

•     Introduction to ASP .NET Web Forms TT00CK71-3006 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  The goal of this course is for the student to be familiar with ASP .NET Web Forms as one of the most powerful server-side Web application framework. After passing this course, the student will have sufficient knowledge and understanding over characteristics, abilities, and features of ASP .NET and .NET Framework. The students will be able to create a whole new project by himself/herself and work with all the major ASP .NET server controls. To finalize the getting best out of ASP .NET features, the students will be familiar with user controls, state management, master pages. Finally, by understanding the difference between dynamic and static applications and websites, the students will be able to have the knowledge of creating dynamic applications and websites.

  Prerequisites and co-requisites

  N/A

  Course contents

  Descriptions and comparison of dynamic web programming frameworks – The importance of dynamic applications – Active Server Pages history – How .NET Framework works – Compatible programming languages with ASP .NET – Server Controls - Namespaces – Introduction to Visual Studio – Error Handling, Logging, and Tracing – State Management – Validation – Master pages, Styles, and Themes – Website Navigation – ASP .NET Default Folders - Performance tips - Security tips.

  Assessment criteria

  Satisfactory

  - The student understands why we need dynamic applications in some projects.
  - The student is familiar with the most popular ASP .NET features.
  - The student is familiar with the most popular ASP .NET server controls.
  - The student can properly select a programming language based on his/her knowledge to work with ASP .NET.
  - The student is able to properly install and implement .NET Framework to run his/her ASP .NET applications.
  - The student is familiar with the environment of MS Visual Studio.
  - The student is familiar with the default folders of ASP .NET.

  Good

  - The student is able to create, manage, and work with ASP .NET server controls.
  - The student is able to understand and work with namespaces.
  - The student understands the process of validation and is able to use it with server controls.
  - The student is able to simplify his/her project’s file with using master pages.

  Excellent

  - The student is able to apply Error Handling, Logging, and Tracing in his/her applications.
  - The student is able to use State Management.
  - The student is able to apply performance and security tips for his/her applications.

  Further information

  N/A

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  - Tutorial Videos
  - Assignments
  - Quiz
  - Projects
  - Self-study

  Assessment methods and criteria

  Assignments 40%
  Quiz 20%
  Project 40%

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  Course material is in English.
  Meropolia's Degree Student may not take this course.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student - course is online (Self-Study) course.

  International connections

  N/A

  Students use of time and load

  Up to Student - course is online (Self-Study) course.

  Content periodicity

  Up to Student - course is online (Self-Study) course.

•     Introduction to Asian Cultures TX00DZ49-3001 13.01.2020-15.03.2020  5 credits + -
  Learning outcomes of the course

  - Obtain knowledge and understanding of Chinese, Japanese and other Asian societies and cultures
  - Integrate theoretical knowledge with empirical evidence
  - Learn to engage with the ideas and perspectives of other learners
  - Learn to analyse issues in Asian societies and culture critically and creatively
  - Come to understand how culture can influence social, economic and diplomatic activity
  - Learn analytic skills for developing and defending an argument
  - Develop skills in synthesising and contextualising new information
  - Develop academic writing skills
  - Develop visual analysis and interpretation skills

  Course contents

  Introduction to Asian Cultures introduces students to some of key cultural features of China and Japan (and East Asia more generally) and provides explicit concepts and explanations about aspects of Asian culture they are likely to experience. This approach is about providing tools for understanding and adjustment as well as more effective communication. We will examine the ways in which these difference are reflected in language, social interactions, love & friendship etc. The nature of personal relations and business will also be explored while the ways that culture can influence government-to government relations and diplomacy may also be discussed. Along the way, the course teaches the key differences between description and analysis.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  13.01.2020 - 15.03.2020

  Enrollment date

  02.12.2019 - 15.01.2020

  • 5 credits

  Seats

  0 - 25

  Teacher(s)

  NN TIVI

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Introduction to Cloud Computing Services and Fundamentals of Microsoft Azure TT00DT62-3002 01.01.2020-31.12.2020  8 credits  (ATX20TV) + -
  Learning outcomes of the course

  A comprehensive course to learn cloud services concepts such as High Availability, Scalability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery. Understand the benefits of cloud computing in Azure and how it can save you time and money. Compare and contrast basic strategies for transitioning to the Azure cloud. Explore the breadth of services available in Azure including compute, network, storage, and security.
  This course is 100% virtual thanks to the comprehensive content made for this course.
  The student will pass this course after submitting required assignments, quizzes, project, and essay

  Course contents

  Principles of Cloud Computing - Service Models - Cloud Computing Services - Cloud Computing Services Tasks - Introduction to Azure - Azure architecture and service guarantees - Create an Azure account - Manage services with the Azure portal - Azure compute options - Azure data storage options - Azure networking options - Security, responsibility and trust in Azure
  Apply and monitor infrastructure standards - Control and organize Azure resources - Predict costs and optimize spending for Azure

  Assessment criteria

  Satisfactory

  The students understand the concept of Cloud Services.
  - The student has a general understanding over the advantageous of cloud services and can briefly explain them

  Good

  - The student has a hand on experience related to the benefits and features of Microsoft Azure Cloud Computing Services

  Excellent

  - The student can fully demonstrate the major services of Microsoft Azure Cloud Services and can use them in details.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Lecture slides, tutorial videos, assignments

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive content made for this course.
  The student will pass this course after submitting required assignments, quizzes, project, and essay.
  - Tutorial Videos
  - Assignments
  - Quizzes
  - Project
  - Essay
  - Self-study

  Assessment methods and criteria

  Assignments 40%
  Quiz 20%
  Project 40%

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  24.02.2019 - 25.03.2019

  • 8 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Only for Open UAS Student's.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  8 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Content = 70h
  Assignments = 35h
  Self-study and research = 50h
  Quizzes = 5h
  Project = 25h
  Essay = 15h
  Total = 200 hours

  Content periodicity

  N/A

•     Introduction to Computing TT00CC63-3007 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course, the student is able to understand the main principles of information technology, including the basic concepts of computer science. The student is able to fluently use personal computers in university studies, and masters the main PC application software. The student is capable of working in complex network environments, and understands information security requirements. The student has basic knowledge of publishing in networks. The student has the ability to apply knowledge and strategies to enhance information technology-related skills.

  Prerequisites and co-requisites

  No pre-requisite requirements.

  Course contents

  ICT hardware and local area network in the study environment.
  Basic concepts of information technology and computer science.
  Introduction to main PC applications: word processing and document, standards, spreadsheets, presentations, graphics.
  Internet as information source and communication medium (digital portfolio).
  The aim of the course is to practise Compia A+ 220-801 and Comptia A+ 220-802 certificates, which you can do in our Testing Center.

  Assessment criteria

  Satisfactory

  The student is able to use fluently personal computers in university studies, and understands information security requirements.
  The student masters communication in the net.
  The student is able to create documents that follow common standards.
  The student masters the main PC application software in ordinary tasks.
  The student can create a small website using a markup language.

  Good

  Additionally:
  The student knows the basic concepts and measurement units of computer science and computer technology.
  The student has an ability to apply knowledge and strategies to process information and data, and to present it in different formats.
  The student is able to enhance information technology related skills, especially learning to use end-user software.

  Excellent

  Additionally:
  The student masters the main concepts and measurement units of computer science and computer technology.
  The student works effortlessly in complex network environments, and masters application software.

  Further information

  Virtual course
  The aim of the course is to practise Compia A+ 220-801 and Comptia A+ 220-802 certificates, which you can do in our Testing Center.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Student have two choices for completion. You can do couple of exercises from each module, and once you have finished, I mark you as completed (I can mark you immediately once you have finished -- please sent an e-mail for me). You can also do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Virve Prami

  Further information for students

  Student have two choices for completion. You can do couple of exercises from each module, and once you have finished, I mark you as completed (I can mark you immediately once you have finished -- please sent an e-mail for me). You can also do the test. This test can be found from the environment.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Riippuu opiskelijasta itsestään.

•     Introduction to Database Management XX00AA79-3039 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Having passed the course, the student understands the importance of databases as part of information systems. The student is familiar with the relational model and other data models. The student is able to design and implement a relational database. The student is able to use and administer the database with a manipulation language.

  Course contents

  Data models and information systems. Conceptual modelling. Principles of relational databases. Implementation and normalisation of a relational database. Data definition language. Data manipulation language. SQL. Relational algebra.

  Assessment criteria

  Satisfactory

  - The student understands the need for databases and their role as a part of an information system.
  - The student is familiar with the idea and objective of conceptual modelling.
  - The student understands the concepts of table, field, primary key and foreign key as well as integrity constraint in the context of the relational model.
  - The student is able to identify the integrity constraints of the database. The student is able to identify other data models.
  - The student knows the basic operations of relational algebra.
  - The student is able to write queries on one table using selection criteria.
  - The student is able to run the queries written by himself/herself on the database management system.

  Good

  - The student is able to explain the role of a database and the database management system in layered architecture.
  - The student is able to apply the techniques of conceptual design.
  - Based on a conceptual model the student is able to construct a relational schema with tables, fields, primary and foreign keys. The student is able to explain the meaning of integrity constraints.
  - The student knows the basic ideas of other data models.
  - The student understands the connection between query languages and relational algebra.
  - The student is able to write SQL queries on several tables applying inner join operation.
  - The student is able to write grouping SQL queries.
  - The student is able to write a simple aggregation function related SQL queries.
  - The student is able to implement a database on a database management system according to a given relational schema.

  Excellent

  - The student is able to describe the interaction between the database layer and other layers of an information system.
  - The student is able to create a conceptual model from a verbal description of a target area.
  - The student is able to convert a conceptual model to a relational schema with tables, fields, primary and foreign keys. The student is able to normalise a database schema to the third normal form. The student is able to compare the relational model with other data models.
  - The student is able to write an expression of relational algebra that produces a desired result set.
  - The student is able to use outer join and write queries with grouping on several factors and aggregate functions.
  - The student is able to create a database based on a given relational schema and perform update operations on a database management system.
  - The student is able to change the structure of an existing database.

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  
  Metropolia's Degree Student:
  - Go to https://moodle.metropolia.fi/course/view.php?id=158 (Use Metropolia's Student ID)
  - Enrolment key: Tihap14
  - Follow instructions

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

•     Introduction to Database Management XX00AA79-3040 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Having passed the course, the student understands the importance of databases as part of information systems. The student is familiar with the relational model and other data models. The student is able to design and implement a relational database. The student is able to use and administer the database with a manipulation language.

  Course contents

  Data models and information systems. Conceptual modelling. Principles of relational databases. Implementation and normalisation of a relational database. Data definition language. Data manipulation language. SQL. Relational algebra.

  Assessment criteria

  Satisfactory

  - The student understands the need for databases and their role as a part of an information system.
  - The student is familiar with the idea and objective of conceptual modelling.
  - The student understands the concepts of table, field, primary key and foreign key as well as integrity constraint in the context of the relational model.
  - The student is able to identify the integrity constraints of the database. The student is able to identify other data models.
  - The student knows the basic operations of relational algebra.
  - The student is able to write queries on one table using selection criteria.
  - The student is able to run the queries written by himself/herself on the database management system.

  Good

  - The student is able to explain the role of a database and the database management system in layered architecture.
  - The student is able to apply the techniques of conceptual design.
  - Based on a conceptual model the student is able to construct a relational schema with tables, fields, primary and foreign keys. The student is able to explain the meaning of integrity constraints.
  - The student knows the basic ideas of other data models.
  - The student understands the connection between query languages and relational algebra.
  - The student is able to write SQL queries on several tables applying inner join operation.
  - The student is able to write grouping SQL queries.
  - The student is able to write a simple aggregation function related SQL queries.
  - The student is able to implement a database on a database management system according to a given relational schema.

  Excellent

  - The student is able to describe the interaction between the database layer and other layers of an information system.
  - The student is able to create a conceptual model from a verbal description of a target area.
  - The student is able to convert a conceptual model to a relational schema with tables, fields, primary and foreign keys. The student is able to normalise a database schema to the third normal form. The student is able to compare the relational model with other data models.
  - The student is able to write an expression of relational algebra that produces a desired result set.
  - The student is able to use outer join and write queries with grouping on several factors and aggregate functions.
  - The student is able to create a database based on a given relational schema and perform update operations on a database management system.
  - The student is able to change the structure of an existing database.

  ---

  Name of lecturer(s)

  Virve Prami

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  Online (Self-Study) course in Moodle environment

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  23.08.2017 - 23.08.2017

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 99

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  Open UAS Student: Please fill in eform
  
  Metropolia's Degree Student:
  - Go to https://moodle.metropolia.fi/course/view.php?id=158 (Use Metropolia's Student ID)
  - Enrolment key: Tihap14
  - Follow instructions

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  International connections

  N/A

•     Introduction to Embedded Android Programming TX00DB92-3003 12.08.2019-16.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  By the end of this course students will be able to:
  - make a simple Android application.
  - understand how to use BLE in Android program.
  - understand a structure of simple embedded system using Android devices.

  Prerequisites and co-requisites

  Basics of Java programming

  Course contents

  An embedded system is a small computer system embedded in many kind of mechanical or electrical systems. The properties of embedded systems compared with general-purpose computer systems are small size, low power consumption and low per-unit cost. In addition, networking functions and rich UI are also required for embedded systems to develop recent mechanical or electrical systems. Since Android OS is much for these properties of embedded systems, Android is applied not only to smartphones but also to embedded systems. In this course, we study basics of Android programming, after that, develop a simple IoT system using Android tablet PC as the controller in order to understand how to apply Android to embedded systems.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  English

  Timing

  12.08.2019 - 16.08.2019

  Enrollment date

  02.05.2019 - 09.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Antti Piironen, Shinji Chiba

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Introduction to Entrepreneurship XX00AA26-3025 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  The student will understand the importance of entrepreneurship for society and he or she will understand also the effect of his or her own input in an enterprise. The student will know the different forms of business. The student will understand the principles of the profitability of business.

  Prerequisites and co-requisites

  Basics of calculation, management and marketing.

  Course contents

  - The concept of entrepreneurship
  - Establishing a business
  - Forms of business
  - Principles of financing
  - Business plan
  - Principles of the bookkeeping and the financial statements
  - Principles of corporate analysis

  Assessment criteria

  Satisfactory

  The student understands the key principles of a profitable business.

  Good

  The student can use and adapt the key principles of a profitable business.

  Excellent

  The student understands the key principles of a profitable business in different company types. The student shows his/her responsibility in his/her studies during the whole course.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in Metropolia's Moodle

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLLING
  
  Metropolia's Degree Student:
  • Go to: https://moodle.metropolia.fi/course/view.php?id=157
  • Course enrolment key: poro
  • Password for the course final exam: Technology

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Introduction to Entrepreneurship XX00AA26-3026 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  The student will understand the importance of entrepreneurship for society and he or she will understand also the effect of his or her own input in an enterprise. The student will know the different forms of business. The student will understand the principles of the profitability of business.

  Prerequisites and co-requisites

  Basics of calculation, management and marketing.

  Course contents

  - The concept of entrepreneurship
  - Establishing a business
  - Forms of business
  - Principles of financing
  - Business plan
  - Principles of the bookkeeping and the financial statements
  - Principles of corporate analysis

  Assessment criteria

  Satisfactory

  The student understands the key principles of a profitable business.

  Good

  The student can use and adapt the key principles of a profitable business.

  Excellent

  The student understands the key principles of a profitable business in different company types. The student shows his/her responsibility in his/her studies during the whole course.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.09.2019 - 03.09.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  Further information for students

  Metropolia's Degree Students shall enroll this course direct in Moodle.
  
  Go to: https://moodle.metropolia.fi/course/view.php?id=157
  Course enrolment key: poro
  Password for the course final exam: Technology

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Introduction to Japanese Language & Culture (group 1) TI00CJ45-3007 05.08.2019-09.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  In this course the participants will be given opportunities to learn the beginning level of practical Japanese for conversation, and to experience some aspects of modern Japanese culture, through watching movies. Selected movies will be shown in the class session, including the ones produced by Hayao Miyazaki. The course is an introductory one and is suitable for those who plan to study abroad in Japan in the future, or for those who are simply interested in modern Japanese culture.

  Prerequisites and co-requisites

  None

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  Course materials will be distributed to the participants in the first lesson of the course.

  Planned learning activities and teaching methods

  -

  Assessment methods and criteria

  -Attendance and class activities 60%
  -Homework 20%
  -Presentation in the last lesson of the course 20%

  Language of instruction

  English

  Timing

  05.08.2019 - 09.08.2019

  Enrollment date

  02.05.2019 - 25.06.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 30

  Teacher(s)

  Antti Piironen, Takeda Tsunemi

  Further information for students

  Summer School course. This course is one week long and offered in the first and second week of the ICT Summer School, with exactly identical content. You may sign up either class, depending on your schedule.

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  Hyväksytty/Hylätty

  Work placement(s)

  N/A

•     Introduction to Japanese Language & Culture (group 2) TI00CJ45-3008 12.08.2019-16.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  In this course the participants will be given opportunities to learn the beginning level of practical Japanese for conversation, and to experience some aspects of modern Japanese culture, through watching movies. Selected movies will be shown in the class session, including the ones produced by Hayao Miyazaki. The course is an introductory one and is suitable for those who plan to study abroad in Japan in the future, or for those who are simply interested in modern Japanese culture.

  Prerequisites and co-requisites

  None

  ---

  Mode of delivery

  Face-to-face

  Recommended or required reading

  Course materials will be distributed to the participants in the first lesson of the course.

  Planned learning activities and teaching methods

  -

  Assessment methods and criteria

  -Attendance and class activities 60%
  -Homework 20%
  -Presentation in the last lesson of the course 20%

  Language of instruction

  English

  Timing

  12.08.2019 - 16.08.2019

  Enrollment date

  02.05.2019 - 09.08.2019

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 30

  Teacher(s)

  Antti Piironen, Takeda Tsunemi

  Further information for students

  Summer School course. This course is one week long and offered in the first and second week of the ICT Summer School, with exactly identical content. You may sign up either class, depending on your schedule.

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  Hyväksytty/Hylätty

  Work placement(s)

  N/A

•     Introduction to Java Programming TT00CB03-3007 01.01.2020-31.12.2020  3 credits  (ATX20TV) + -
  Learning outcomes of the course

  Understanding basics of java programming

  Course contents

  First part of the course deals with basics of Java programming and the second part introduces students to concepts of object-oriented programming.
  - algorithms
  - variables in Java
  - programming statements, expressions and operators
  - if-statement
  - loop structures in Java
  - metods
  - numerical arrays
  - basics of object-oriented programming
  - more about objects
  The course includes programming exercises and multi-choice questions.

  Further information

  Online course

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  N/A

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Pass, after Student have done 80% or more of the course.

  Language of instruction

  English

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 3000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop).
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Introduction to JavaScript TT00DV43-3002 02.07.2020-31.12.2021  5 credits  (ATX21TV) + -
  Learning outcomes of the course

  After completing the course, the student is able to write simple code with JavaScript, and he/she will gain a knowledge which is a good start to further improve his/her skill level by doing more exercises & practise afterwards

  Prerequisites and co-requisites

  N/A

  Course contents

  - Values, Types, and Operators
  - Program Structure
  - Functions
  - Data Structures: Objects and Arrays
  - Higher-order Functions
  - Objects
  - Bugs and Errors
  - Regular Expressions
  - Modules
  - Asynchronous Programming

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Can be find on study environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  When you have done 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  Tuition in Finnish

  Timing

  02.07.2020 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  Teacher(s)

  Janne Salonen, Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student: Please fill in eform
  
  Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
  - Register to system -> Click the link “Enroll on the course”
  - Choose any course of (NonStop).
  - Fill the others fields

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Can be find on study environment.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

•     Introduction to JavaScript TT00DV43-3001 01.01.2020-31.12.2020  5 credits  (ATX20TV) + -
  Learning outcomes of the course

  After completing the course, the student is able to write simple code with JavaScript, and he/she will gain a knowledge which is a good start to further improve his/her skill level by doing more exercises & practise afterwards

  Prerequisites and co-requisites

  N/A

  Course contents

  - Values, Types, and Operators
  - Program Structure
  - Functions
  - Data Structures: Objects and Arrays
  - Higher-order Functions
  - Objects
  - Bugs and Errors
  - Regular Expressions
  - Modules
  - Asynchronous Programming

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  It's on to study environment.

  Planned learning activities and teaching methods

  Onlinen (Self-Study) course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2020 - 31.12.2020

  Enrollment date

  02.08.2019 - 02.08.2019

  • 5 credits

  Group(s)

  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  Course material is Finnish.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Up to Student her-/himself.

  International connections

  N/A

  Students use of time and load

  Up to student her-/himself.

  Content periodicity

  Up to student him-/herself.

•     Introduction to Machine Learning TX00DB91-3003 12.08.2019-16.08.2019  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  Knowledge and understanding
  The students will know some basic concept and some algorithms of machine learning for
  regression and classification and they will understand how to implement them on MATLAB.
  They also will know an artificial neural network model for handwritten character recognition
  and they will be able to implement both the neural network learning and recognition
  algorithm on MATLAB.
  
  Skills
  The students are able to understand basic machine learning algorithms especially artificial
  neural networks and make use of MATLAB programs for implementation of the algorithms.

  Prerequisites and co-requisites

  Basic mathematics, for example, linear algebra, vector and matrix operations, linear
  combination, basic multivariate calculus, and so on. It is preferable to have a basic
  programing skill and to be able to use basic data structures and algorithms.