Academic year 2020 - 2021

•     3D Modelling and mixed reality applications TX00DG11-3004 15.03.2021-09.05.2021  15 credits  (TVT18-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

  Distance learning

  Language of instruction

  English

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 07.03.2021

  • 15 credits

  Group(s)

  • TVT18-M

  Seats

  20 - 30

  Teacher(s)

  Antti Laiho, Ulla Sederlöf, Toni Spännäri, Matti Peltoniemi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  15 credits

  Evaluation scale

  0-5

•     ARM-Processors and Embedded Operating Systems TX00CI69-3005 24.08.2020-11.10.2020  5 credits  (ICT18-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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 41

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     ASP.NET Core Application Development TT00DU85-3002 01.01.2021-31.12.2021  5 credits  (ATX21TV) + -
  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

  N/A

  Planned learning activities and teaching methods

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

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee is 75 euros (15 euros/ects).

  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.

  Location and Time

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

•     Administering a SQL Database Infrastructure TT00DD02-3005 01.01.2021-31.12.2021  6 credits  (ATX21TV) + -
  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

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 6 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee 90 euros (15 euros/ects).

  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.

  Location and Time

  Up to Student her-/himself.

•     Administering and Deploying System Center 2012 Configuration Manager, 70-243 TT00DC75-3005 01.01.2021-31.12.2021  5 credits  (ATX21TV) + -
  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

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 500

  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 TT00CC69-3007 01.01.2021-31.12.2021  8 credits  (ATX21TV) + -
  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

  Online in study environment.

  Planned learning activities and teaching methods

  100% Online Self-study course.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 8 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  Course cost 120 euros (15 euros/ects).

  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

  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.

  Location and Time

  Up to Student her-/ himself.

•     Advanced Powershell TT00EL09-3002 01.01.2021-31.12.2021  5 credits  (ATX21TV) + -
  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.

  ---

  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

  Can be find on study environment.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  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

  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.

  Location and Time

  Up to Student her-/himself.

•     Advanced Routing in Enterprise Networks TX00EM77-3001 15.03.2021-09.05.2021  5 credits  (ICT18-N) + -
  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • ICT18-N

  Seats

  20 - 30

  Teacher(s)

  Marko Uusitalo

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Advanced Usage of Office Programs TT00CJ90-3007 01.01.2021-31.07.2022  6 credits  (ATX21TV, ...) + -
  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

  Online in LabSim environment.

  Planned learning activities and teaching methods

  100% online Self-study course. All you need is web browser and working network connection.
  
  You have two choices for completion. You can do couple of exercises from each module, and or you can do the test. This test can be found from the environment.

  Assessment methods and criteria

  You have two choices for completion. You can do couple of exercises from each module, and or you can do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.07.2022

  • 6 credits

  Group(s)

  • ATX21TV
  • LabSim2021
  • LabSim2022

  Seats

  0 - 5000

  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

  You have two choices for completion. You can do couple of exercises from each module, and or you can do the test. This test can be found from the environment.

  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.

  Location and Time

  Course is delivered via LabSim -environment and timetable is totally up to student. Course can be done in own pace.

•     Agile Project Management TX00EU13-3001 22.03.2021-16.05.2021  3 credits + -
  Learning outcomes of the course

  On completion of the course, the student is familiar with the main project management philosophies like waterfall model and agile methodology and their background. Students understand SW version control practices, continuous integration and test automation role in agile project management in SW development and IT sector. Student knows some used agile methodologies and their role in SW project management.

  Prerequisites and co-requisites

  -

  Course contents

  - Project management key aspects and process
  - Fundamentals of project management models
  - Waterfall model and agile development
  - Different agile development methods introduction and exercising as SW project management practices
  - Version and configuration management, continuous integration and automated testing as part of project management

  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.

  ---

  Name of lecturer(s)

  Matti Oosi

  Mode of delivery

  Distance learning

  Recommended or required reading

  Kurssimateriaali on englanniksi, luennot suomeksi (not translated)

  Language of instruction

  Tuition in Finnish

  Timing

  22.03.2021 - 16.05.2021

  Enrollment date

  01.03.2021 - 19.03.2021

  • 3 credits

  Seats

  0 - 20

  Teacher(s)

  Matti Oosi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  Hyväksytty/Hylätty

  Exam schedule

  Tentti 14.5. (not translated)

  Location and Time

  Etäopetus. Opetustunnit pidetään Teamsin kautta. (not translated)

•     Amazon Cloud Foundation TX00DW03-3001 24.08.2020-18.10.2020  5 credits  (TXK20S2) + -
  Learning outcomes of the course

  Amazon Cloud Foundation is an AWS Academy curriculum designed to help students develop technical expertise in cloud computing. Upon a successful completion of the course, participants will know the basics of cloud computing, can identify global infrastructure components of cloud computing and knows the basics of implementitation and architecture of public cloud computing.

  Prerequisites and co-requisites

  Basic understanding of ict and networking technology

  Course contents

  Cloud computing concepts
  Overview of AWS global infrastructure
  AWS core services
  Basics of cloud architecture
  Automatic Scaling and Monitoring

  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

  Distance learning

  Recommended or required reading

  AWS Academy course material

  Planned learning activities and teaching methods

  lecture
  laboratory exercises
  theory exercies

  Assessment methods and criteria

  learning assignments
  theory exam

  Language of instruction

  English

  Timing

  24.08.2020 - 18.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TXK20S2

  Seats

  0 - 30

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

  Work placement(s)

  AWS Academy

•     Amazon Web Services TX00ED10-3001 11.01.2021-09.05.2021  5 credits  (TXK20S2, ...) + -
  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. After completing this course the learner knows design patterns of AWS cloud and can apply them to architectural designs solutions.

  Prerequisites and co-requisites

  Amazon Cloud Foundation or basic knowledge about cloud computing

  Course contents

  Introduction Cloud Computing Architure and AWS design
  AWS core infrastructure components, services and Management tools
  Designing highly available environment on AWS
  Automation and decoupling your Infrastructure
  Well architected framework
  Troubleshooting
  Design patterns and sample architectures

  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

  Distance learning

  Recommended or required reading

  AWS Cloud Architect course material

  Planned learning activities and teaching methods

  lectures
  exercises
  case studies

  Assessment methods and criteria

  case studies
  online exam

  Language of instruction

  English

  Timing

  11.01.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TXK20S2
  • TIVI-ELECT5

  Seats

  0 - 75

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

  Work placement(s)

  AWS Academy

  Location and Time

  Lessons are one evening per week, at 17:00 - 20:45.

•     Android Programming TX00CR64-3008 19.10.2020-13.12.2020  5 credits  (TVT18K-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT18K-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 TX00CG23-3008 24.08.2020-11.10.2020  5 credits  (TVT19-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

  Assessment methods and criteria

  Exam
  Reports

  Language of instruction

  Tuition in Finnish

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-H

  Seats

  0 - 40

  Teacher(s)

  Anu Valtonen, Pirkko-Leena Kuosa

  Further information for students

  N/A

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

  Completion alternatives

  Erityisen tuen päätökset: Mikäli opiskelijalla on erityisen tuen päätös, joka vaikuttaa opintojakson suorittamiseen, tulee opiskelijan olla yhteydessä opintojaksototeutuksen vastuuopettajaan heti ilmoittautumisajan päätyttyä. (not translated)

  Exam schedule

  Exam:
  1) 17.9.2020
  2) 8.10.2020

  Students use of time and load

  N/A

•     Applied Web Application Security: Attacks and Defense TX00CR92-3005 11.01.2021-14.03.2021  6 credits  (TIVI-ELECT5) + -
  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

  17% Face-to-face, 83% Distance learning

  Language of instruction

  English

  Timing

  11.01.2021 - 14.03.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 6 credits

  Group(s)

  • TIVI-ELECT5

  Seats

  20 - 30

  Teacher(s)

  Kimmo Sauren

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Artificial Intelligence in Business Management TX00EL42-3001 03.08.2020-07.08.2020  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  At the end of this introductory course, students will be better informed about the increasing role of AI in business management and their lives. This course will motivate students to examine their life and work aspirations as AI is displacing many jobs and will continue to do so.

  Prerequisites and co-requisites

  No prerequisite

  Course contents

  Technologies have changed the way we live, work and play. One of such technology which is making huge impacts is Artificial Intelligence.This introductory course will sensitise participants to the advancing role of AI in various industries. The advantages of AI are obvious, however, possible areas to be careful about will be considered too. The inclusion of this course is timely as European Union is deliberating on the role of ethics and trusting AI.

  Assessment criteria

  Satisfactory

  - Students’ active attendance (3 classes)
  - Students’ active participation in class discussions (3 classes)
  - Students’ submission of exercises (3 classes)

  Good

  - Students’ active attendance (4 classes)
  - Students’ active participation in class discussions (4 classes)
  - Students’ submission of exercises (4 classes)

  Excellent

  - Students’ active attendance (5 classes)
  - Students’ active participation in class discussions (5 classes)
  - Students’ submission of exercises (5 classes)

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  03.08.2020 - 07.08.2020

  Enrollment date

  04.05.2020 - 02.08.2020

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 80

  Teacher(s)

  Tashfeen Ahmad

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  0-5

•     Automated Software Testing with Selenium TT00EM53-3001 01.10.2020-31.12.2021  5 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  This course aims to acquaint you with Selenium, which is an open-source web-based automation tool, from both practical and theoretical approach step-by-step. Generally accepted that automation testing occupies center stage in Quality Assurance since it can act as a catalyst for testers to achieve a desirable quality. There are various automation testing tools, of particular note is Selenium owing to several reasons. This course starts with fundamental Selenium concepts and will gradually move to advance topics like different commands, Action classes, and framework creation. This course is suitable for beginners with little or no automation experience to an advanced level. At the end of the course, students are expected to appropriately gain the knowledge of automation concepts and automate the considerable part of test cases with the TestNG framework.
  
  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  The student will pass this course after submitting the required quiz and assignments.

  Course contents

  1. Selenium Introduction:
  What is Selenium? - Selenium IDE - Selenium RC - Selenium Webdriver - Selenium Grid - Who developed Selenium?
  
  2. Selenium WebDriver Setup:
  Introduction - Install Java - Install Eclipse IDE - Install Selenium WebDriver - Configure Eclipse IDE - First Selenium WebDriver Script
  
  3. Locators in Selenium WebDriver:
  What are Locators? - Locating by ID - Locating by Name - Locating by Class Name - Locating by Tag Name - Locating by Link Text & Partial Link Text - Locating by CSS Selector - Locating by XPath
  
  4. Commands in Selenium WebDriver:
  Browser Commands - Navigation Commands - WebElement Commands - Operational Methods - Verification Methods - Data Capture Methods - CheckBox and Radio Buttons - DropDown & Multiple Select -
  
  5. Switching alert & windows:
  Wait statements - Handling Alert - Handling Multiple Windows - Handling iframe
  
  6. Action Class:
  Actions class - Right Click and Double Click - Drag and Drop - Mouse Hover - ToolTip - Keyboard Events
  
  7. Tips & Tricks
  Headless Browser Testing - Take Screenshot - Upload and Download a file - Find Broken Links
  
  8. TestNG Framework
  Introduction to TestNG - TestNG Installation in Eclipse - First Test Case with TestNG - TestNG Test Suite - TestNG Annotations - TestNG Assertions - TestNG Groups - TestNG Dependency - TestNG Priority - TestNG Data Provider - Cross-browser and Parallel Testing – TestNG Listeners

  Assessment criteria

  Satisfactory

  - The student knows the basic definitions of Selenium.
  - The student knows the difference between Selenium IDE, Selenium RC, Grid, and WebDriver.
  - The student knows how to set up the Selenium web driver.
  - The student knows how to configure the IDE.

  Good

  - The student can locate elements within the website through a different approach.
  - The student can fetch data.
  - The student can clear inputs.
  - The student can navigate in browsers.
  - The student can verify elements.
  - The student can handle alerts.
  - The student can move between multiple windows.
  - The student can perform click events.

  Excellent

  - The student can handle mouse & keyboard events.
  - The student can take a screenshot.
  - The student knows what headless browsers are and run to test the application with the help of them.
  - The student knows how to download and upload a file.
  - The student knows what TestNG is.
  - The student knows how to use Annotations, Groups, and Dependency.
  - The student knows how to use the data provider option in TestNG.
  - The student knows how to perform Parallel Testing.
  - The student knows how to implement Listeners.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in TechClass -portal.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  Course includes:
  - Assignments
  - Quiz
  - Projects
  - Self-study

  Assessment methods and criteria

  The student will pass this course after submitting the required quiz and assignments.
  
  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 500

  Teacher(s)

  Virve Prami

  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

  Online in TechClass -portal.

  International connections

  N/A

  Students use of time and load

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Location and Time

  Course is 100% online in TechClass -portal and course can be done in own pace.

•     Azure Machine Learning TT00EO92-3001 01.01.2021-31.12.2021  15 credits  (ATX21TV) + -
  Learning outcomes of the course

  Azure Machine Learning (ML) is Microsoft’s cloud-based service for machine learning implementations, which runs on top of Microsoft Azure cloud and allows for building, deploying, tracking machine learning and deep learning models with lots of capabilities and customizations. This course introduces the primary machine learning tools available on the Azure ML studio and focuses on standardized approaches to data analytics and machine learning implementation (e.g., predictive modeling) based on them. After passing this course, the student will learn to build, train, deploy, automate, manage, and track enterprise-grade machine learning models from scratch in a simplified way using powerful Azure workspaces.
  This course is 100% virtual thanks to the comprehensive tutorial videos and content prepared for this course.
  The student will pass this course after submitting required quiz, assignments, and the final project.

  Course contents

  1. Introduction:
  Basics of Machine Learning – Importance of Data – Types of Machine Learning – Machine Learning Pipeline – Machine Learning Implementation – Why Cloud-based Services? – Microsoft Azure Cloud Services
  2. Azure Machine Learning:
  What is Azure ML? – Getting Started with Azure ML – What is Azure ML Studio? – Azure ML Architecture and Concepts – Compute Targets
  3. Azure Machine Learning Designer–Working with Data:
  Introduction to Azure ML Designer – Create a New Pipeline – Import Data: Manual Data Entry and Sample Datasets – Import Data: Create a Dataset – Visualize the Data – Prepare Data: Select Columns – Prepare Data: Clean Missing Data – Prepare Data: Apply Math Operations – Prepare Data: Split Data
  4. Azure Machine Learning Designer–Training and Deployment:
  Add Training Modules – Add Evaluation Modules – Set the Default Compute Target – Submit the Pipeline – View Evaluation Results – Create a Real-time Inference Pipeline – Create an Inferencing Cluster – Deploy the Real-time Endpoint – Test the Real-time Endpoint – Clean-up Resources – Algorithm Cheat Sheet for Azure ML Designer
  5. Automated Machine Learning:
  Introduction to Automated ML – Getting Started with Automated ML – Create and Load a Dataset – Configure Experiment Run – Explore Models – Deploy the Best Model – Prevent Overfitting with Automated ML – Example: Time-Series Forecasting Model
  5. Azure Machine Learning Python SDK:
  Getting Started with Azure ML in Jupyter Notebooks – Create, Run, and Manage Notebooks – Azure ML Python SDK – Setup Local Computer – Train a Model – Prepare Your Code for Production – Deploy the Model – Automated ML with Python SDK
  6. Azure Event Grid:
  What is Event Grid? – Event Model and Types – Create Event-driven Workflows – Example 1: Send Email Alerts – Example 2: Data Drift Triggers Retraining
  7. What’s More?
  Connect to Azure Storage Services – Git Integration for Azure ML – Plan and Manage Costs for Azure ML – Next Steps

  Assessment criteria

  Satisfactory

  - The student is familiar with the cloud-based service.
  - The student is familiar with about Azure Machine Learning Studio.
  - The student knows about how to use Azure Machine Learning Designer service.
  - The student is familiar how to train a model using Azure Machine Learning Designer.
  - The student is familiar with concept of Automated Machine Learning service in AML.
  - The student is familiar with different compute resource in AML.

  Good

  - The student knows how to use Automated Machine Learning Service to implement and deploy different machine learning models.
  - The student knows the how to use Jupyter notebook and run and manage it.
  - The student is familiar with different assets in Azure Machine Learning Studio.
  - The student is familiar with Azure Machine Learning SDK.
  - The student knows how to setup his/her local computer.
  - The student knows how to use Azure machine learning compute resource to train his/her models.
  - The student is familiar with the concept of Experiment.
  - The student is familiar with the concept of Event Grid.

  Excellent

  - The student knows how to create an environment for his/her model.
  - The student can prepare his/her code for deploying different machine learning models.
  - The student can understand the technical document of Azure Machine learning Services.
  - The student is familiar with Microsoft cognitive service.
  - The student knows how transfer learning models work.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Lecture slides
  Tutorial videos
  Quizzes
  Exercises
  Project

  Planned learning activities and teaching methods

  100% online Self-Study course.
  
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 50%
  Quizzes 25%
  Project 25%

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 15 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 500

  Teacher(s)

  Virve Prami

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 85h
  Exercises = 95h
  Self-study = 100h
  Quizzes = 15h
  Project = 65h
  Total = 360 hours

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course can be done with own pace in TechClass environment.

•     Bachelor's Thesis TX00BZ75-3011 01.01.2021-31.07.2021  15 credits  (TVT17K-O, ...) + -
  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

  01.01.2021 - 31.07.2021

  Enrollment date

  02.12.2017 - 31.12.2017

  • 15 credits

  Group(s)

  • TVT17K-O
  • TVT14-O
  • TVT15-O
  • TVT18K-O
  • TVT15K-O
  • TVT16K-O
  • TVT17-O
  • TVT16-O

  Teacher(s)

  Aarne Klemetti, Erja Nikunen, Auvo Häkkinen, Ilpo Kuivanen, Juha Kopu, Jussi Alhorinne, Juha Kämäri, Ville Jääskeläinen, Outi Grotenfelt, Matti Oosi, Simo Silander, Jorma Räty, Vesa Ollikainen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

•     Bachelor's Thesis TX00BZ75-3019 01.01.2021-31.12.2021  15 credits  (TXK17S1E) + -
  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

  01.01.2021 - 31.12.2021

  Enrollment date

  02.12.2018 - 02.12.2018

  • 15 credits

  Group(s)

  • TXK17S1E

  Teacher(s)

  Antti Laiho, Ulla Paatola, Peter Hjort, Ilkka Kylmäniemi, Erik Pätynen, Anne Pajala, Aarne Klemetti, Kimmo Sauren, Keijo Länsikunnas, Marko Uusitalo, Jussi Alhorinne, Marjo-Riitta Näyhö, Jarkko Vuori, Sami Sainio, Antti Piironen, Ulla Sederlöf, Patrick Ausderau, Sakari Lukkarinen, Petri Vesikivi, Miikka Mäki-Uuro, Kari Aaltonen, Heini Puuska, Tapio Wikström, Kari Salo, Toni Spännäri, Hannu Markkanen

  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 TX00CD47-3008 19.10.2020-13.12.2020  15 credits  (ICT19-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

  19.10.2020 - 13.12.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • ICT19-M

  Seats

  0 - 40

  Teacher(s)

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

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

  Exam schedule

  Final presentations on 11.12 from 13:00 to 16:00

  Students use of time and load

  Weeks 1-5: Lectures/Labs
  Weeks 5-7: 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

  Location and Time

  Mon-Fri 9:00 - 16:00

  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 TX00CD47-3010 15.03.2021-09.05.2021  15 credits  (ICT20K-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

  Distance learning

  Language of instruction

  Tuition in Finnish

  English

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • ICT20K-M

  Seats

  0 - 30

  Teacher(s)

  Ilkka Kylmäniemi, Ulla Sederlöf, Patrick Ausderau, Aarne Klemetti, Birgitta Nenonen-Andersson

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  15 credits

  Evaluation scale

  0-5

•     Basic Network Analyzing with Wireshark TT00DC88-3005 01.01.2021-31.12.2021  3 credits  (ATX21TV) + -
  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.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  System Requirements
  
  Recommended Hardware:
  Screen dimensions: 1920px x 1080px or higher (full HD or higher)
  Processor speed: 2 GHz / multi-core
  Broadband / Internet access requirements: 5 Mb download, 1 Mb upload
  
  Minimum Hardware:
  Screen dimensions: 1280px x 1024px
  Processor speed: 1.5 Ghz
  Broadband / Internet access requirements: 2 Mbps download, 256 kpbs upload
  
  Operating Systems:
  Microsoft Windows XP with SP2/Vista/7/8/8.1/10
  Microsoft Windows Server 2003/2008/2013
  Linux Red Hat, Fedora, SUSE, Ubuntu
  Apple Mac OS X
  
  Networking:
  Internet connection minimum of 512 kbs
  HTTPS Access (Port 443)
  HTTP Access (Port 80)
  
  Software:
  Oracle Java version 1.7+ (If using our Java client)
  
  Browser:
  HTML 5 Client
  Microsoft Edge 13 or later
  Microsoft Internet Explorer 10 or later
  Chrome 29 or later
  Firefox 45 or later
  Apple Safari 9.1 or later
  
  Java Client
  Internet Explorer 10 or later

  Planned learning activities and teaching methods

  Course is 100% online (Self-Study) course.
  
  Read the lecture notes first. Then start studying the theory using course book chapter by chapter. Take the review test after each chapter.
  
  Practice Labs are pre-configured hardware layouts with accompanying lab guides for fast, convenient access that make studying for an exam or learning new technologies an engaging experience.
  
  The final test contains 60 multi-choice questions and its duration is 150 minutes.

  Assessment methods and criteria

  Practice Labs
  Final test
  
  The final test contains 60 multi-choice questions and its duration is 150 minutes.
  
  The minimum passing score for the test is 700. If not achieved, the student needs to take another test. The retake limit is 3!

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee 90 euros (15 euros/ects).

  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

  Final exam retake limit is 3!

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Study place and Timetable is totally up to student her-/himself.

•     Basics of Information Security TT00EL92-3002 01.01.2021-31.12.2021  6 credits  (ATX21TV) + -
  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

  Can be find on study environment.

  Planned learning activities and teaching methods

  Course is 100% online (Self-Study) course.
  
  The theory is studied by own pace using course Moodle lessons and course literature.
  
  At the end of the course final tests are taken (on-line Moodle tests)

  Assessment methods and criteria

  The final test covers all subjects of the course. The test contains ?80 multi-choice questions and the duration is 150 minutes.
  
  The minimum passing score for the test is 700/1000. If not achieved, the student needs to retake the test.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.12.2021

  • 6 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Basics of Information Security TT00ER70-3001 09.02.2021-31.12.2021  6 credits  (ATX21TV) + -
  Learning outcomes of the course

  This course is designed for network and security administrators and those with similar job functions which have two years of experience with general networking and basic security knowledge. 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.

  Course contents

  The course consists of three topics: information security, cryptology and applications security. The course gives assurance that you can handle setting up secure environments and handle the challenging situations surrounding security breaches, including the following skills:
  
  Security fundamentals
  Basic risk identification and analysis
  Threat identification and assessment
  How to secure IT infrastructure security
  Cryptography
  Operational security and general security processes
  Incident response and business continuity

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  The course lessons are based on Metropolia lecture handouts, CEH9, Cisco Learning, Microsoft Learning, and other Internet documents.

  Planned learning activities and teaching methods

  Course is 100% online (Self-Study) course. The theory is studied by own pace using course Moodle lessons and course literature.
  
  At the end of the course final tests are taken (on-line Moodle tests).

  Assessment methods and criteria

  The minimum passing score for the Final test is 700/1000. If not achieved, the student needs to retake the test.
  
  Final test will be taken remotely and the course is graded Pass/Fail.

  Language of instruction

  English

  Timing

  09.02.2021 - 31.12.2021

  • 6 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  ENROLMENT
  
  Metropolia's Degree Students
  
  Go to: https://moodle.metropolia.fi/course/view.php?id=2863
  Enrolment key: turva

  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.

  Location and Time

  Course is delivered in Metropolia's Moodle environment and you can do this course in your own pace.

•     Basics of Information Security TT00EL92-3004 01.01.2021-31.01.2021  6 credits  (ATX21TV) + -
  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

  Can be find on study environment.

  Planned learning activities and teaching methods

  Course is 100% online (Self-Study) course.
  
  The theory is studied by own pace using course Moodle lessons and course literature.
  
  At the end of the course final tests are taken (on-line Moodle tests)

  Assessment methods and criteria

  The final test covers all subjects of the course. The test contains ?80 multi-choice questions and the duration is 150 minutes.
  
  The minimum passing score for the test is 700/1000. If not achieved, the student needs to retake the test.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.01.2021

  • 6 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Basics of Virtualization and Cloud Computing TX00DH60-3003 24.08.2020-18.10.2020  5 credits  (TXK20S2) + -
  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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 18.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TXK20S2

  Seats

  0 - 30

  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

  0-5

•     Biomechanics and Motion Measurement TX00CG24-3008 24.08.2020-11.10.2020  5 credits  (TVT19-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

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-H

  Seats

  0 - 40

  Teacher(s)

  Anu Valtonen, Pekka Anttila, Juha Kopu

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Blockchain and Cryptocurrency fundamentals TT00DU86-3002 01.01.2021-31.12.2021  5 credits  (ATX21TV) + -
  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

  Online

  Planned learning activities and teaching methods

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

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee 75 euros (15 euros/ects).

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Up to Student her-/himself.

•     Building Enterprise Solutions Using Microsoft Azure TX00EL66-3001 10.08.2020-14.08.2020  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  This practical, hands-on course will introduce you to the world of Microsoft Azure and modern ways for building enterprise-grade solutions in the cloud. The idea is to familiarize yourself with the different building blocks and how these services can be best leveraged to easily build and deploy solutions securely in the cloud. The different components provide a strong and solid basis for your future endeavours.
  
  At the beginning of each session we will first see practical and theoretical background information and concepts. We will always strive to keep a practical approach in mind – no fluff! You will learn new technology and software concepts, and you’ll be positively challenged with new insights.

  Prerequisites and co-requisites

  - Basic understanding of scripting and programming skills
  - Familiar with cloud computing concepts such as virtual machines and identities
  - Basic programming skills in C#/Java/Python (or a similar modern language) is a plus but definitely not a requirement!

  Course contents

  Day 1:
  What is Microsoft Azure?
  A lap around Azure services
  Understanding the big picture
  Getting started with Microsoft Azure
  
  Day 2:
  Developing custom solutions to Azure
  o Development tooling
  o Web Apps
  o APIs
  o Serverless
  o Containers
  
  Day 3:
  Building data and analytics solutions
  o Application Insights
  o Integration services
  o Data platforms
  
  Day 4 & 5:
  Make it real: Building the final solution

  Assessment criteria

  Satisfactory

  Attending all the labs, completing all the assignments in-time. Able to explain the created pipeline.

  Good

  Satisfactory + Completed some of the extra exercise.

  Excellent

  Good + Completed all the extra exercises.

  ---

  Mode of delivery

  Distance learning

  Language of instruction

  English

  Timing

  10.08.2020 - 14.08.2020

  Enrollment date

  04.05.2020 - 05.08.2020

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 40

  Teacher(s)

  Jussi Roine

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  0-5

•     C - Programming TT00CB05-3008 28.10.2020-28.02.2021  3 credits  (VIOPE_NonStop) + -
  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

  Can be find in 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

  English

  Timing

  28.10.2020 - 28.02.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  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

  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.

  Location and Time

  Up to student her-/himself.

•     C - Programming TT00VI06-3010 28.10.2020-28.02.2021  3 credits  (VIOPE_NonStop) + -
  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

  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

  28.10.2020 - 28.02.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C - Programming TT00VI06-3013 01.03.2021-31.07.2021  3 credits  (VIOPE_NonStop) + -
  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

  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

  01.03.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C - Programming TT00CB05-3011 01.03.2021-31.07.2021  3 credits  (VIOPE_NonStop) + -
  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

  Can be find in 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

  English

  Timing

  01.03.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  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

  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.

  Location and Time

  Up to student her-/himself.

•     C - Programming TT00VI06-3014 12.11.2020-31.07.2022  3 credits  (VIOPE2021) + -
  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

  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

  12.11.2020 - 31.07.2022

  • 3 credits

  Group(s)

  • VIOPE2021

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C - Programming TT00CB05-3012 12.11.2020-31.07.2022  3 credits  (VIOPE2021) + -
  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

  Can be find in 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

  English

  Timing

  12.11.2020 - 31.07.2022

  • 3 credits

  Group(s)

  • VIOPE2021

  Seats

  0 - 5000

  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

  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.

  Location and Time

  Up to student her-/himself.

•     C - Programming TT00VI06-3011 01.08.2020-31.12.2020  3 credits  (ATX20TVS) + -
  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

  01.08.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TVS

  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.

  Location and Time

  Up to Student her-/himself.

•     C - Programming TT00CB05-3009 01.08.2020-31.12.2020  3 credits  (ATX20TVS) + -
  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

  01.08.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 3 credits

  Group(s)

  • ATX20TVS

  Seats

  0 - 3000

  Teacher(s)

  Sami Sainio, 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.

  Location and Time

  Up to Student her-/himself.

•     C Programming in IoT Devices TX00DR64-3001 24.08.2020-11.10.2020  5 credits  (ICT19-SI1) + -
  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

  Smart IoT-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

  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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  21.06.2020 - 02.08.2020

  • 5 credits

  Group(s)

  • ICT19-SI1

  Seats

  0 - 40

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     C Programming in IoT Devices TX00DR64-3002 24.08.2020-11.10.2020  5 credits  (ICT19-SI2) + -
  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

  Smart IoT-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

  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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  21.06.2020 - 02.08.2020

  • 5 credits

  Group(s)

  • ICT19-SI2

  Seats

  0 - 40

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     C# Programming Fundamentals TT00AC49-3010 28.10.2020-28.02.2021  4 credits  (VIOPE_NonStop) + -
  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

  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

  28.10.2020 - 28.02.2021

  • 4 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C# Programming Fundamentals TT00AC49-3014 01.03.2021-31.07.2021  4 credits  (VIOPE_NonStop) + -
  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

  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

  01.03.2021 - 31.07.2021

  • 4 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C# Programming Fundamentals TT00AC49-3015 12.11.2020-31.07.2022  4 credits  (VIOPE2021) + -
  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

  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

  12.11.2020 - 31.07.2022

  • 4 credits

  Group(s)

  • VIOPE2021

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     C# Programming Fundamentals TT00AC49-3011 01.08.2020-31.12.2020  4 credits  (ATX20TVS) + -
  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

  01.08.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 31.05.2019

  • 4 credits

  Group(s)

  • ATX20TVS

  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.

  Location and Time

  Up to Student her-/himself.

•     C++ Programming TT00CB04-3008 28.10.2020-28.02.2021  3 credits  (VIOPE_NonStop) + -
  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

  Can be find in 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

  English

  Timing

  28.10.2020 - 28.02.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 5000

  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.

  Location and Time

  Up to Student her-/himself.

•     C++ Programming TT00CB04-3011 01.03.2021-31.07.2021  3 credits  (VIOPE_NonStop) + -
  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

  Can be find in 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

  English

  Timing

  01.03.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 5000

  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.

  Location and Time

  Up to Student her-/himself.

•     C++ Programming TT00CB04-3012 12.11.2020-31.07.2022  3 credits  (VIOPE2021) + -
  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

  Can be find in 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

  English

  Timing

  12.11.2020 - 31.07.2022

  • 3 credits

  Group(s)

  • VIOPE2021

  Seats

  0 - 5000

  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.

  Location and Time

  Up to Student her-/himself.

•     C++ Programming TT00CB04-3009 01.08.2020-31.12.2020  3 credits  (ATX20TVS) + -
  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

  01.08.2020 - 31.12.2020

  Enrollment date

  02.05.2019 - 02.05.2019

  • 3 credits

  Group(s)

  • ATX20TVS

  Seats

  0 - 3000

  Teacher(s)

  Sami Sainio, 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.

  Location and Time

  Up to Student her-/himself.

•     C++ Programming, Advanced TX00CR53-3006 15.03.2021-09.05.2021  5 credits  (TVT18-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

  15.03.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  20 - 30

  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

•     C++ Project TX00DO53-3003 11.01.2021-14.03.2021  5 credits  (TVT19-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

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-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 TX00CR60-3008 24.08.2020-11.10.2020  5 credits  (TVT18K-O) + -
  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

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT18K-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

•     C/C++ Programming TX00CR60-3010 11.01.2021-14.03.2021  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

  11.01.2021 - 14.03.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TIVI-ELECT1

  Seats

  20 - 30

  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 TT00CR29-3006 01.01.2021-31.12.2021  8 credits  (ATX21TV) + -
  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

  Can be find in study environment.

  Planned learning activities and teaching methods

  100% Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 8 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  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

  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.

  Location and Time

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

•     CISSP: Certified Information System Security Professional TT00CR29-3007 01.01.2021-31.07.2021  8 credits  (ATX21TV) + -
  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

  Can be find in study environment.

  Planned learning activities and teaching methods

  100% Online (Self-Study) course.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.07.2021

  • 8 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  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

  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.

  Location and Time

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

•     Calibration of Measurement Devices and Data Evaluation TX00DC44-3004 03.08.2020-07.08.2020  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

  34% Face-to-face, 66% Distance learning

  Recommended or required reading

  • lecture as pdf or printed out

  Planned learning activities and teaching methods

  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

  03.08.2020 - 07.08.2020

  Enrollment date

  04.05.2020 - 02.08.2020

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Jörg Hoffmann, Werner Trentmann

  Further information for students

  The course extent is 2 ECTS in year 2020, as the course includes only the lectures (no practical part).

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  2 credits

  Evaluation scale

  0-5

•     Client Pro (MD100 and MD101) TT00EN20-3001 01.01.2021-31.07.2022  6 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  This course prepares students for the TestOut Client Pro certification exam and Microsoft’s Windows 10 (MD-100) and Managing Modern Desktops (MD-101) certification exams.
  
  Completing this course effectively prepares students to earn their Microsoft 365 Certified: Modern Desktop Administrator Associate certification.

  Course contents

  The TestOut Client Pro course focuses on teaching configuration tasks performed on the client computer by a desktop administrator in a business environment.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Course material is online.

  Planned learning activities and teaching methods

  100% online Self-study course. All you need is web browser and working network connection.

  Assessment methods and criteria

  You have two choices for completion. You can do couple of exercises from each module, and or you can do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.07.2022

  • 6 credits

  Group(s)

  • ATX21TV
  • LabSim2021
  • LabSim2022

  Seats

  0 - 500

  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

  You have two choices for completion.
  
  You can do couple of exercises from each module or you can do the test. This test can be found from the environment.

  Work placement(s)

  N/A

  Exam schedule

  Online.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is delivered via LabSim -environment and timetable is totally up to student. Course can be done in own pace.

•     Communication Networks TX00CD36-3009 24.08.2020-31.05.2021  5 credits  (ICT18-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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 31.05.2021

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • ICT18-N

  Seats

  0 - 40

  Teacher(s)

  Antti Koivumäki

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Customers and Users of eHealth Services TX00CG29-3007 11.01.2021-14.03.2021  5 credits  (TVT19-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

  Language of instruction

  Tuition in Finnish

  Timing

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-H

  Seats

  0 - 30

  Teacher(s)

  Sakari Lukkarinen, Mikael Soini, Juha Havukumpu

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Cybersecurity Operations TX00DP60-3005 11.01.2021-09.05.2021  5 credits  (TXK20S2, ...) + -
  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

  Distance learning

  Recommended or required reading

  Cisco Academy course material

  Planned learning activities and teaching methods

  lecture
  laboratory exercises
  theory exercisees

  Assessment methods and criteria

  theory exam
  skills demonstration
  learning assignments

  Language of instruction

  English

  Timing

  11.01.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TXK20S2
  • TIVI-ELECT5

  Seats

  20 - 30

  Teacher(s)

  Erik Pätynen

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

  Work placement(s)

  Valid CyberOps sertificate and skills exam

•     Cybersecurity Operations TX00DP60-3003 24.08.2020-13.12.2020  5 credits  (ICT18-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

  Distance learning

  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

  24.08.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • ICT18-N

  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

  Karaportti 2

  Virtual proportion

  5 credits

  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 TX00CG26-3008 19.10.2020-13.12.2020  5 credits  (TVT19-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

  19.10.2020 - 13.12.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-H

  Seats

  0 - 40

  Teacher(s)

  Saana Vallius, Joseph Hotchkiss

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Data Encryption and Cryptomathematics TX00CK78-3009 19.10.2020-13.12.2020  5 credits  (TVT18-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 42

  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 Encryption and Cryptomathematics TX00CK78-3011 15.03.2021-09.05.2021  5 credits  (TVT19K-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

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19K-O

  Seats

  0 - 36

  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 Handling and Machine Learning TX00DZ36-3001 24.08.2020-11.10.2020  5 credits  (TVT18-O) + -
  Learning outcomes of the course

  After completion of the course, the student understands the possibilities in data handling, modelling and, particularly, machine learning. The course participants have acquired hands-on experience in data storage, retrieval, and manipulation as well as the methods and tools in machine learning.

  Course contents

  - Large volumes of data in ICT business: applicability, models, opportunities, and processes, legislative and ethical constraints.
  - Data acquisition and preprocessing.
  - Data management solutions.
  - Machine learning methods (classification, association analysis, clustering, prediction of numeric values) , their fields of use and applicability.
  - Machine learning software.
  - Validation and visualisation of results.
  - Machine learning in natural language processing.

  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

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 40

  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

•     Data Handling and Machine Learning TX00DZ36-3003 15.03.2021-09.05.2021  5 credits  (TVT19K-O) + -
  Learning outcomes of the course

  After completion of the course, the student understands the possibilities in data handling, modelling and, particularly, machine learning. The course participants have acquired hands-on experience in data storage, retrieval, and manipulation as well as the methods and tools in machine learning.

  Course contents

  - Large volumes of data in ICT business: applicability, models, opportunities, and processes, legislative and ethical constraints.
  - Data acquisition and preprocessing.
  - Data management solutions.
  - Machine learning methods (classification, association analysis, clustering, prediction of numeric values) , their fields of use and applicability.
  - Machine learning software.
  - Validation and visualisation of results.
  - Machine learning in natural language processing.

  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

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19K-O

  Seats

  0 - 36

  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

•     Data Structures and Algorithms TX00DS64-3002 19.10.2020-13.12.2020  5 credits  (TVT19K-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT19K-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

•     Data Structures and Algorithms TX00CG82-3010 11.01.2021-14.03.2021  5 credits  (TVT19-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

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-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 TX00DS64-3003 15.03.2021-09.05.2021  5 credits  (TVT19-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

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-O

  Seats

  0 - 43

  Teacher(s)

  Juha Kämäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Database Solutions TX00CR58-3008 24.08.2020-11.10.2020  5 credits  (TVT18K-O) + -
  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

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 40

  Teacher(s)

  Heini Puuska, Vesa Ollikainen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Database Solutions TX00CR58-3010 11.01.2021-14.03.2021  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

  11.01.2021 - 14.03.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TIVI-ELECT1

  Seats

  20 - 30

  Teacher(s)

  Vesa Ollikainen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Databases in Game Development TX00DO54-3003 24.08.2020-11.10.2020  5 credits  (TVT19-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

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-PE

  Seats

  0 - 40

  Teacher(s)

  Heini Puuska, Antti Laiho

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Description and Modelling Techniques TX00CF80-3010 24.08.2020-11.10.2020  5 credits  (TVT19K-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

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT19K-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

•     Description and Modelling Techniques TX00EC75-3001 11.01.2021-14.03.2021  5 credits  (TVT19-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

  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

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-O

  Seats

  0 - 43

  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 TX00CF83-3010 19.10.2020-13.12.2020  5 credits  (TVT19K-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT19K-O

  Seats

  0 - 40

  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 Patterns TX00EC76-3001 15.03.2021-09.05.2021  5 credits  (TVT19-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

  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

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19-O

  Seats

  0 - 43

  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 Theories, Methods and Practices TX00EM72-3001 11.01.2021-14.03.2021  10 credits  (TIVI-ELECT3) + -
  Learning outcomes of the course

  The aim of this course is to introduce different theoretical frameworks and philosophies behind the main design methods and obtain theoretical knowledge and practical experience about the human-centered interaction design process and common methods used in interaction design. What have been the original aims of these theories and why these are still in use. Knowing the background helps to evaluate which methods are fit for what kind of design and research-based design aims and tasks taking into account the context of design.
  
  On completion of the course, student:
  Understands the fundamentals of human-centered interaction design process; Is able to choose and adjust interaction design methods for the specific design challenge; Is able to use human-centered design and research methods for understanding the context, framing the problem and exploring possible solutions; Is able to create low- and high-fidelity prototypes, according to usability principles and design patterns, learns teamwork and collaboration.

  Prerequisites and co-requisites

  No prior knowledge of design is required.

  Course contents

  1. ‘Introduction to interaction design.’ Understanding the context and choosing relevant interaction design methods for a design challenge: Background methods – literature reviews, quick and dirty ethnography; co-designing part – interviews, surveys, observations, diaries, competitive reviews; continuous evaluation – user feedback, user description, user analysis.
  Identifying insights: thematic analysis, concept maps, timelines,affinity diagramming. Framing the problem: personas, user journey maps. Exploring possible solutions: ideation methods, scenario-based design, user stories. Information architecture, cardsorting. Design patterns, user interface guidelines and design systems. Low-fidelity prototyping techniques: paper prototyping and wireframes. High-fidelity prototyping: tools and techniques.
  
  2. 'Defining Design' provides an overview of different approaches and philosophies to design discipline. Historical overview of the development of design theory. Lecture and group task.
  
  3. 'Design Process, Methods and Tools' looks at the historical development of design methodology addressing fundamental questions about methods: What is the use of methods? What is the value of methods? Lecture and group task.
  
  4. 'Design Methodologies' introduces the core of different contemporary methodologies like user-centred design, inclusive design, social design, systems oriented design, creative and critical design, participatory design., etc. Design is taken as a complex problem solving applied into real world cases; Challenges of coping with complex problems and solutions to overcome the challenges;human interpretation biases are also discussed. Discussing the potential cases of design in groups.
  
  5. 'Design management' introduces design in business and public sector. Focusses on leading design projects and composing design briefs. Discusses about design in policies and strategies.Lecture, students' presentations and discussion.

  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.

  Further information

  The course is run jointly by Tallinn University and Metropolia University of Applied Sciences. For more information contact: Merja Bauters (bauters@tlu.ee) Professor in Digital Transformation or Petri Vesikivi (petri.vesikivi@metropolia.fi), Principal Lecturer Mobile Solutions.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  To be discussed with the teacher. It is not possible to pass the course only through replacement literature.

  Planned learning activities and teaching methods

  Lectures during the first three weeks of the course. Last five weeks working in project teams on solving a digital transformation challenge.

  Assessment methods and criteria

  Participants are expected to prepare for classes by undertaking the assigned readings etc. The quality of class participation and group interaction will be used as an assessment method - peer assessment. Presentations are also assessed by how well the main points have been detected, how clear the presentations were, how well the audience has been engaged.

  Language of instruction

  English

  Timing

  11.01.2021 - 14.03.2021

  Enrollment date

  21.12.2020 - 10.01.2021

  • 10 credits

  Group(s)

  • TIVI-ELECT3

  Seats

  15 - 25

  Teacher(s)

  Petri Vesikivi, tivi virtuaali::mediatekniikka

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  10 credits

  Evaluation scale

  0-5

  International connections

  The course will be run as a joint course with TLU (Tallinn University)

  Location and Time

  On-line course, two weekly 3 hours session with the teachers and independent work.

•     Design Thinking TX00EM00-3001 24.08.2020-28.08.2020  3 credits  (ICTSUMMER) + -
  Learning outcomes of the course

  By the end of this course of study, student will be able to:
  • Analyse the problem from a customer's perspective (human-centred problem solving) and understand that innovation does not always involves a product;
  • Brainstorm effectively innovative ideas;
  • Create and evaluate prototype designs;
  • Develop skills to work with diverse inclusive/exclusive teams online;
  • Apply design thinking to real-life problems.

  Prerequisites and co-requisites

  None

  Course contents

  This course aims to equip students with Design Thinking concepts and tools synthesising human-centred techniques to solve problems in a more creative and innovative approach. The course concentrates on evaluating alternative methods to solve problems that might not be instantly evident. Students will be able to integrate the iterative design thinking process of empathising with users of the product or service, defining ideas, producing a prototype and testing.

  ---

  Mode of delivery

  Distance learning

  Planned learning activities and teaching methods

  The course will be facilitated through lectures, classroom presentations, theory and practical demonstrations, case studies, discussions, assignments and exercises.

  Assessment methods and criteria

  Quiz 1 10%
  Quiz 2 20%
  Project Document deliverable 30%
  Project Video Presentation Submission 20%
  Project Poster Deliverable 20%

  Language of instruction

  English

  Timing

  24.08.2020 - 28.08.2020

  Enrollment date

  01.06.2020 - 18.08.2020

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 40

  Teacher(s)

  Josephina Mikka-Muntuumo

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  Evaluation scale

  0-5

  Location and Time

  Prescribed Reading:
  
  Vianna, M., Vianna, Y., Adler, I., Lucena, B., & Russo, B. (2012). Design thinking: Business innovation. MJV Tecnologia ltda, Rio de Janeiro.
  
  Brown, T. & Katz, B. (2019). Change by design: how design think-ing transforms organizations and inspires innovation. New York: HarperBusiness, an imprint of HarperCollinsPublishers.
  
  
  Recommended Reading:
  Eppinger, Steven D., & Karl T. Ulrich. (1995). "Product design and development."
  Liedtka, J., Ogilvie, T., & Brozenske, R. (2014). The designing for growth field book: A step-by-step project guide. Columbia Uni-versity Press.
  Liedtka, J., & Ogilvie, T. (2011). Designing for growth: A design thinking tool kit for managers. Columbia University Press.
  Liedtka, J., Salzman, R., & Azer, D. (2017). Design thinking for the greater good: Innovation in the social sector. Columbia University Press.
  Rowe, P. G. (1991). Design thinking. MIT press.
  Nieman, G. & Pretorius, M. (2004). Managing Growth. A guide for entrepreneurs. Juta Academic: Cape Town.

•     Design of Safe and Reliable Systems TX00DB89-3004 03.08.2020-07.08.2020  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

  ---

  Name of lecturer(s)

  Norbert Jung

  Mode of delivery

  Distance learning

  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 exercises
  - individual contribution to project
  - short exam at the end of the intensive week
  
  It is highly recommended that students attend all sessions.

  Language of instruction

  English

  Timing

  03.08.2020 - 07.08.2020

  Enrollment date

  04.05.2020 - 02.08.2020

  • 3 credits

  Group(s)

  • ICTSUMMER

  Seats

  0 - 24

  Teacher(s)

  Norbert Jung, Marcel Hasler

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  3 credits

  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

•     Develop a Mobile Application XX00EM93-3001 30.03.2021-06.05.2021  3 credits + -
  Learning outcomes of the course

  Opintojakson suoritettuaan opiskelija pystyy omatoimisesti rakentamaan selainpohjaisia pelillisiä sovelluksia kännykkään (not translated)

  Course contents

  • Työkalut sovelluskehitykseen
  • HTML ja CSS perusteet
  • JavaScript perusteet
  • Valitun JavaScript kirjaston käyttö
  • Sovelluksen suunnittelu
  • Sovelluksen toteutus ja testaus (not translated)

  Assessment criteria

  Satisfactory

  Kurssin hyväksytty suoritus edellyttää, että opiskelijan rakentama sovellus toimii kännykän selaimella (not translated)

  Further information

  Opintojakso on tarkoitettu Espoon lukiolaisille ja Omnian opiskelijoille. (not translated)

  ---

  Name of lecturer(s)

  Matti Peltoniemi

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  30.03.2021 - 06.05.2021

  Enrollment date

  01.08.2020 - 01.08.2020

  • 3 credits

  Teacher(s)

  Ulla Forsström, Matti Peltoniemi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Developing Chatbots using Microsoft Bot Framework TT00DJ78-3005 01.01.2021-31.12.2021  6 credits  (ATX21TV) + -
  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

  Online in study environment.

  Planned learning activities and teaching methods

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

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 6 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee 90 euros (15 euros/ects).

  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

  Online in study environment.

  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%

  Location and Time

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

•     Developing Modern Web Platforms (HTML,CSS,JS) TT00CQ83-3007 01.01.2021-31.12.2021  15 credits  (ATX21TV) + -
  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

  01.01.2021 - 31.12.2021

  • 15 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  Further information for students

  Course fee 225 euros (15 euros/ects).

  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

  Up to Student her-/himself.

  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.

  Location and Time

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

•     Development of Safe and Secure Software TX00CK77-3009 19.10.2020-13.12.2020  5 credits  (TVT18-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT18-O

  Seats

  0 - 42

  Teacher(s)

  Ilpo Kuivanen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Development of Safe and Secure Software TX00CK77-3011 11.01.2021-14.03.2021  5 credits  (TVT19K-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

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT19K-O

  Seats

  0 - 36

  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 TX00CG34-3006 24.08.2020-11.10.2020  5 credits  (TVT18-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

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 40

  Teacher(s)

  Juha Havukumpu, Mikael Soini

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Digital Signal Processing TX00CQ31-3006 19.10.2020-13.12.2020  5 credits  (ICT18-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 41

  Teacher(s)

  Jarkko Vuori

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Discrete Mathematics TT00ES93-3001 19.02.2021-31.12.2021  3 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi

  Language of instruction

  English

  Timing

  19.02.2021 - 31.12.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
  
  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TT00ES93-3002 19.02.2021-31.07.2021  3 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi

  Language of instruction

  English

  Timing

  19.02.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
  
  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TT00EM30-3004 01.03.2021-31.07.2021  3 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  Further information

  Self-Study Viope course.

  ---

  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

  01.03.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TT00EM30-3005 12.11.2020-31.07.2022  3 credits  (VIOPE2021) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  Further information

  Self-Study Viope course.

  ---

  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

  12.11.2020 - 31.07.2022

  • 3 credits

  Group(s)

  • VIOPE2021

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TX00CD83-3012 24.08.2020-11.10.2020  5 credits  (TVT19-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

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-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

•     Discrete Mathematics TT00EM30-3001 01.08.2020-31.12.2020  3 credits  (ATX20TVS) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  Further information

  Self-Study Viope course.

  ---

  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

  01.08.2020 - 31.12.2020

  Enrollment date

  02.07.2020 - 02.07.2020

  • 3 credits

  Group(s)

  • ATX20TVS

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TT00EM30-3002 28.10.2020-28.02.2021  3 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course the student knows the basic concepts of logic, set theory, relations, and their relationships to applications. He/she can construct and perceive structures in information technology with the aid of models offered by discrete mathematics.

  Course contents

  1. Logic
  2. Set theory
  3. Relations
  4. Funcitons
  5. Nets

  Further information

  Self-Study Viope course.

  ---

  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

  28.10.2020 - 28.02.2021

  Enrollment date

  02.07.2020 - 02.07.2020

  • 3 credits

  Group(s)

  • VIOPE_NonStop

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Discrete Mathematics TX00CD83-3016 11.01.2021-14.03.2021  5 credits  (TVT20K-O1) + -
  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

  11.01.2021 - 14.03.2021

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT20K-O1

  Seats

  0 - 30

  Teacher(s)

  Jorma Räty

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Discrete Mathematics TX00CD83-3017 15.03.2021-09.05.2021  5 credits  (TVT20K-O2) + -
  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

  15.03.2021 - 09.05.2021

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT20K-O2

  Seats

  0 - 30

  Teacher(s)

  Jorma Räty

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Docker TT00EM54-3001 01.10.2020-31.12.2021  5 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  The goal of this course is for the student to be familiar with the concept of DevOps and Docker. Students will learn the Advantageous of using CI/CD in software development. Then the student will be fully introduced to Docker as one of the most potent tools for virtualization and cloud systems. After passing this course, the student will be able to design and optimize the software development project delivery. Furthermore, they would be capable of configuring CI/CD pipelines and architecture project's hosting with new cloud systems like Azure.
  
  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  The student will pass this course after submitting the required quiz and assignments.

  Course contents

  Introduction - History of Docker - Docker Architecture - Install Docker Desktop - Install Docker Server - What is Docker CLI? - Basic Commands - Docker Image - Docker Hub - Docker Container - Docker Registry Docker Hub - Docker Daemon - Docker File – Volumes – Networks - Advance Docker File - Docker Swarm - What is Docker Compose? - Installation of Docker Compose - Docker Compose File - Managing Docker Compose - What is DevOps? - Continuous Integration - Continuous Deployment - Docker and Cloud Computing

  Assessment criteria

  Satisfactory

  - The student can properly install Docker.
  - The student understands the concept of Docker.
  - The student is familiar with the benefits of CI/CD.
  - The student can adequately explain the concept of Image/ Container.
  - The student understands how Docker works.
  - The student can adequately explain cloud computing with Docker.
  - The student can properly install Docker on his/her local computer.
  - The student is familiar with Docker Registry and Docker Hub.

  Good

  - The student can properly create a Docker file.
  - The student can properly use Docker to create an image and run the container.
  - The student can properly work with Docker CLI and run Docker commands.
  - The student can properly inspect a Docker server, such as status and log.
  - The student has a good understanding of Docker architecture.
  - The student is familiar with Volumes and Networks in Docker.
  - The student can run and manage a Docker Compose.

  Excellent

  - The student can adequately create a Docker Compose file.
  - The student knows how to Install Docker Server.
  - The student can push a Docker image to Docker Hub.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in TechClass environment.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  Course includes:
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 500

  Teacher(s)

  Virve Prami

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Content periodicity

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Location and Time

  Course is 100% online (Self-Study) course in TechClass environment.

•     Embedded Linux Basics (Using Yocto Project) TX00DG09-3004 15.03.2021-09.05.2021  5 credits  (ICT18-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

  Distance learning

  Language of instruction

  English

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  20 - 30

  Teacher(s)

  Joseph Hotchkiss

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Embedded System project TX00CO32-3005 24.08.2020-11.10.2020  5 credits  (ICT18-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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • ICT18-S

  Seats

  0 - 41

  Teacher(s)

  Keijo Länsikunnas

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology, Degree Programme in Information Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Engineering Finnish and Communication Skills TX00EA52-3003 11.01.2021-14.03.2021  5 credits  (TXK20S2, ...) + -
  Learning outcomes of the course

  The student is able to communicate and interact when studying and in working life. The student is able to produce various types of texts in their own field for different channels. The student is able to communicate as an expert in various research and development positions and environments, and retrieve and evaluate information critically and use it in a target-oriented way. The student is familiar with the good practices of oral and written communication and is able to apply them appropriately. The student is able to utilise their language and communication skills for the continuous development of their thinking and expertise.

  Prerequisites and co-requisites

  B2 of the Common European Framework of Reference for Languages (CEFR)

  Course contents

  - Expert-level text skills and writing of professional texts
  - Interaction skills: customer communication, group work and negotiation situations
  - Presentation skills, effective speaking and giving feedback
  - Communication in project and in research and development work
  - Communication planning and assessment
  - Good practices of digital communication
  - Fundamentals of scientific writing
  - Ethical and critical use of sources, and proper referencing

  Assessment criteria

  Satisfactory

  The student is able, under guidance, to use and produce oral and written text types required for professional expert work. The student is able to acquire information from professional sources and to utilise such information in their studies and work. The student is able to act appropriately in communication situations related to expert work and research and development work.

  Good

  The student is independently able to use and produce oral and written text types required for professional expert work. The student is able to acquire information comprehensively from professional sources and to evaluate its reliability and usability in their studies and work. The student is able to act constructively in communication situations related to expert work and research and development work.

  Excellent

  The student is able, in a target-oriented way, to use and produce oral and written text types required for professional expert work. The student is able to acquire information comprehensively from professional sources and to evaluate its reliability and usability in their studies and work in a critical way. The student is able to act as a group member or head of a group in communication situations related to expert work and research and development work. The student displays a willingness to develop their communication and interaction skills required of experts.

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TXK20S2
  • TXL19S1
  • TXL20S1

  Seats

  0 - 25

  Teacher(s)

  Marjo-Riitta Näyhö

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Engineering Mathematics TT00EM33-3004 01.03.2021-31.07.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  100% online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  01.03.2021 - 31.07.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM34-3004 01.03.2021-31.07.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  Course is 100% Online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  Tuition in Finnish

  Timing

  01.03.2021 - 31.07.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM33-3005 12.11.2020-31.07.2022  5 credits  (VIOPE2021) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  100% online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  12.11.2020 - 31.07.2022

  • 5 credits

  Group(s)

  • VIOPE2021

  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

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM34-3005 12.11.2020-31.07.2022  5 credits  (VIOPE2021) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  Course is 100% Online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  Tuition in Finnish

  Timing

  12.11.2020 - 31.07.2022

  • 5 credits

  Group(s)

  • VIOPE2021

  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

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TX00CH61-3006 24.08.2020-11.10.2020  5 credits  (ICT19-SI1) + -
  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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  21.06.2020 - 02.08.2020

  • 5 credits

  Group(s)

  • ICT19-SI1

  Seats

  0 - 40

  Teacher(s)

  Timo Salin

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Engineering Mathematics TX00CH61-3007 24.08.2020-11.10.2020  5 credits  (ICT19-SI2) + -
  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

  Distance learning

  Language of instruction

  English

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  21.06.2020 - 02.08.2020

  • 5 credits

  Group(s)

  • ICT19-SI2

  Seats

  0 - 40

  Teacher(s)

  Timo Salin

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Engineering Mathematics TT00EM33-3001 01.08.2020-31.12.2020  5 credits  (ATX20TVS) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  100% online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  01.08.2020 - 31.12.2020

  Enrollment date

  01.06.2020 - 30.06.2020

  • 5 credits

  Group(s)

  • ATX20TVS

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM34-3001 01.08.2020-31.12.2020  5 credits  (ATX20TVS) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  Course is 100% Online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  Tuition in Finnish

  Timing

  01.08.2020 - 31.12.2020

  Enrollment date

  02.07.2020 - 02.07.2020

  • 5 credits

  Group(s)

  • ATX20TVS

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM33-3002 28.10.2020-28.02.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  100% online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  28.10.2020 - 28.02.2021

  Enrollment date

  01.06.2020 - 30.06.2020

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Mathematics TT00EM34-3002 28.10.2020-28.02.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Course contents

  1. Polynomial functions and equations
  3. Vectors
  4. Analytic geometry
  5. Differential Calculus
  6. Trigonometry
  7. Exponential models and logarithms
  8. Integral Calculus
  9. Statistics and Probability
  10. Number theory
  11. Algorithms in mathematics

  Further information

  Course is 100% Online (Self-Study) course.

  ---

  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 at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  Tuition in Finnish

  Timing

  28.10.2020 - 28.02.2021

  Enrollment date

  02.07.2020 - 02.07.2020

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  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

  5 credits

  Evaluation scale

  0-5

  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

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Engineering Physics 1 TT00ER82-3001 01.01.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course, student knows basics of the engineering physics.
  
  Including
  - heat
  - electricity
  - force and motion
  - periodic motion and waves
  - electromagnetism
  - matter and radiation

  Course contents

  - Heat
  - Hlectricity
  - Force and Motion
  - Periodic motion and Waves
  - Electromagnetism
  - Matter and Radiation

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To get grading pass you have to do at least 80% of this course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 5000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  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

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is delivered via Metropolia's Viope environment and it can be done in own pace.

•     Engineering Physics 1 TT00ER82-3002 10.02.2021-30.04.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course, student knows basics of the engineering physics.
  
  Including
  - heat
  - electricity
  - force and motion
  - periodic motion and waves
  - electromagnetism
  - matter and radiation

  Course contents

  - Heat
  - Hlectricity
  - Force and Motion
  - Periodic motion and Waves
  - Electromagnetism
  - Matter and Radiation

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To get grading pass you have to do at least 80% of this course.

  Language of instruction

  Tuition in Finnish

  Timing

  10.02.2021 - 30.04.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 5000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  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

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is delivered via Metropolia's Viope environment and it can be done in own pace.

•     Engineering Physics 1 TT00ER82-3003 01.05.2021-31.08.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  After completing the course, student knows basics of the engineering physics.
  
  Including
  - heat
  - electricity
  - force and motion
  - periodic motion and waves
  - electromagnetism
  - matter and radiation

  Course contents

  - Heat
  - Hlectricity
  - Force and Motion
  - Periodic motion and Waves
  - Electromagnetism
  - Matter and Radiation

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To get grading pass you have to do at least 80% of this course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.05.2021 - 31.08.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 5000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  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

  N/A

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is delivered via Metropolia's Viope environment and it can be done in own pace.

•     Engineering Swedish TX00BP91-3134 24.08.2020-13.12.2020  5 credits  (TVT18K-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

  24.08.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 18.08.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  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 TX00BP91-3135 24.08.2020-13.12.2020  5 credits  (TVT18K-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

  24.08.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 18.08.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  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 TX00BP91-3139 24.08.2020-11.10.2020  5 credits  (ICT18K-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

  Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • ICT18K-M

  Seats

  0 - 25

  Teacher(s)

  Anne Pajala

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3140 19.10.2020-13.12.2020  5 credits  (TVT17-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 25

  Teacher(s)

  Anne Pajala

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Leiritie 1

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3163 15.03.2021-09.05.2021  5 credits  (TVT18-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

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • TVT18-H

  Seats

  0 - 25

  Teacher(s)

  Taru Sotavalta

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3164 11.01.2021-09.05.2021  5 credits  (TVT18-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

  11.01.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT18-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 TX00BP91-3169 15.03.2021-09.05.2021  5 credits  (ICT18-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

  Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • ICT18-N

  Seats

  0 - 25

  Teacher(s)

  Anne Pajala

  Unit, in charge

  School of ICT

  Degree Programme

  Degree Programme in Information Technology, Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  5 credits

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3170 11.01.2021-14.03.2021  5 credits  (TVT18-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

  11.01.2021 - 14.03.2021

  Enrollment date

  30.11.2020 - 10.01.2021

  • 5 credits

  Group(s)

  • TVT18-M
  • TIVI-ELECT3

  Seats

  0 - 25

  Teacher(s)

  Anne Pajala

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Engineering Swedish TX00BP91-3186 11.01.2021-09.05.2021  5 credits  (TVT18-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

  11.01.2021 - 09.05.2021

  Enrollment date

  30.11.2020 - 17.01.2021

  • 5 credits

  Group(s)

  • TVT18-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 TX00BP91-3141 24.08.2020-11.10.2020  5 credits  (TVT17-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 Pajala

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  24.08.2020 - 11.10.2020

  Enrollment date

  04.05.2020 - 30.08.2020

  • 5 credits

  Group(s)

  • TVT17-PE

  Seats

  0 - 25

  Teacher(s)

  Anne Pajala

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Ethical Hacking TT00EN28-3001 01.01.2021-31.07.2022  6 credits  (ATX21TV, ...) + -
  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 is
  - Online
  - Self-Study online course

  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

  Further information

  Course material is in English and course is delivered via LabSim -portal.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online Self-study course. All you need is web browser and working network connection.

  Assessment methods and criteria

  You have two choices for completion.
  
  You can do couple of exercises from each module or you can do the test. This test can be found from the environment.

  Language of instruction

  English

  Timing

  01.01.2021 - 31.07.2022

  • 6 credits

  Group(s)

  • ATX21TV
  • LabSim2021
  • LabSim2022

  Seats

  0 - 500

  Teacher(s)

  Virve Prami

  Further information for students

  Course will be offered via Open UAS.

  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

  You have two choices for completion. You can do couple of exercises from each module, and or you can do the test. This test can be found from the environment.

  Work placement(s)

  N/A

  Exam schedule

  Online in LabSim environment.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is delivered via LabSim -environment and timetable is totally up to student. Course can be done in own pace.

•     Excel Advanced TT00CQ56-3007 01.08.2020-31.12.2020  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

  01.08.2020 - 31.12.2020

  • 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 Advanced TT00CQ56-3006 01.01.2021-31.07.2021  3 credits  (ATX21TV) + -
  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

  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

  Can be find in study environment.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  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

  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 her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Excel Advanced TT00CQ56-3009 01.01.2021-31.12.2021  3 credits  (ATX21TV) + -
  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

  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

  Can be find in study environment.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.12.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  Teacher(s)

  Tapio Wikström

  Further information for students

  Course has been done for Open UAS Students who are enrolling it via https://hakija.oma.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

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Excel Basics TT00CQ55-3007 01.08.2020-31.12.2020  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

  01.08.2020 - 31.12.2020

  • 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 TT00CQ57-3007 01.08.2020-31.12.2020  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

  01.08.2020 - 31.12.2020

  • 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 TT00CQ57-3006 01.01.2021-31.07.2021  3 credits  (ATX21TV) + -
  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

  Recommended or required reading

  Can be find on study environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course,

  Language of instruction

  English

  Timing

  01.01.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  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

  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.

  Location and Time

  Up to Student her-/himself.

•     Excel Basics TT00CQ55-3006 01.01.2021-31.07.2021  3 credits  (ATX21TV) + -
  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

  Recommended or required reading

  Can be find on study environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.07.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  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

  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.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Excel Basics TT00CQ55-3009 01.01.2021-31.12.2021  3 credits  (ATX21TV) + -
  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

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  Can be find in study environment.

  Language of instruction

  Tuition in Finnish

  Timing

  01.01.2021 - 31.12.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 1000

  Teacher(s)

  Tapio Wikström

  Further information for students

  Course is for Open UAS students who are enrolling it via https://hakija.oma.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

  Online.

  International connections

  N/A

  Students use of time and load

  Up to student her-/himself.

  Content periodicity

  Up to student her-/himself.

  Location and Time

  Online in Moodle environment and course can be done in own pace.

•     Excel Basics TT00CQ57-3009 01.01.2021-31.12.2021  3 credits  (ATX21TV) + -
  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

  Recommended or required reading

  Can be find on study environment.

  Planned learning activities and teaching methods

  100% online (Self-Study) course,

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 3 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Tapio Wikström

  Further information for students

  Open UAS Student: Please enroll via https://hakija.oma.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

  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.

  Location and Time

  Up to Student her-/himself.

•     Expressions and Equations TT00ES66-3001 12.02.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  The student is able to perceive the meaning and interpretation of mathematical expressions. The student knows how to use the Cartesian coordinate system to visualize pairs of numbers and how to plot elementary functions. The student has a clear view of the characteristic properties of the graphs of most important elementary functions.
  -----
  The student is able to perform calculations with integers, fractions and decimal numbers. The student can simplify symbolic expressions composed of basic mathematical operations. The student can plot elementary functions. The student can solve for the angles of a given triangle.
  The student is able to solve linear and quadratic equations, pairs of linear equations and most common types of equations containing roots, logarithms or exponentials.

  Course contents

  Integers, basic algebraic operations and their rules. Fractions and calculations with fractions. Using letters as symbols of numbers. Basic rules of manipulating expressions that contain symbols and numbers. Basic rules for simplifying mathematical expressions. Decimal numbers and accuracy of calculations with decimal numbers. Roots and fractional powers. Solving linear equations and pairs of linear equations. Solving simple equations containing roots. Coordinate system, straight line, parabola and other basic functions. Direct and inverse proportionality. Trigonometric functions solving the right angle. Exponential and logarithmic functions and related simple equations.

  Further information

  Course prepares for UAS studies: The goal is to develop mathematical skills.
  
  Course is delivered via Metropolia's Viope environment and it's 100% online (Self-Study) course.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in study environment.

  Planned learning activities and teaching methods

  Course is 100% online (Self-Study) course and course can be done in own pace.

  Assessment methods and criteria

  Grading pass will be given after student has done at least 80% of course.

  Language of instruction

  Tuition in Finnish

  Timing

  12.02.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  Teacher(s)

  Janne Salonen

  Further information for students

  Course prepares for UAS studies: The goal is to develop mathematical skills.
  
  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

  N/A

  International connections

  N/A

  Students use of time and load

  Up to student her-/himself.

  Content periodicity

  Up to student her-/himself.

  Location and Time

  Course is delivered via Metropolia's Viope environment and it can be done in own pace.

•     Expressions and Equations TT00ES95-3001 19.02.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  The student is able to perceive the meaning and interpretation of mathematical expressions. The student knows how to use the Cartesian coordinate system to visualize pairs of numbers and how to plot elementary functions. The student has a clear view of the characteristic properties of the graphs of most important elementary functions.
  -----
  The student is able to perform calculations with integers, fractions and decimal numbers. The student can simplify symbolic expressions composed of basic mathematical operations. The student can plot elementary functions. The student can solve for the angles of a given triangle.
  The student is able to solve linear and quadratic equations, pairs of linear equations and most common types of equations containing roots, logarithms or exponentials.

  Course contents

  Integers, basic algebraic operations and their rules. Fractions and calculations with fractions. Using letters as symbols of numbers. Basic rules of manipulating expressions that contain symbols and numbers. Basic rules for simplifying mathematical expressions. Decimal numbers and accuracy of calculations with decimal numbers. Roots and fractional powers. Solving linear equations and pairs of linear equations. Solving simple equations containing roots. Coordinate system, straight line, parabola and other basic functions. Direct and inverse proportionality. Trigonometric functions solving the right angle. Exponential and logarithmic functions and related simple equations.

  Further information

  Course prepares for UAS studies: The goal is to develop mathematical skills.
  
  Course is delivered via Metropolia's Viope environment and it's 100% online (Self-Study) course.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  When you have done at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  19.02.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
  
  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Expressions and Equations TT00ES95-3002 19.02.2021-31.07.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  The student is able to perceive the meaning and interpretation of mathematical expressions. The student knows how to use the Cartesian coordinate system to visualize pairs of numbers and how to plot elementary functions. The student has a clear view of the characteristic properties of the graphs of most important elementary functions.
  -----
  The student is able to perform calculations with integers, fractions and decimal numbers. The student can simplify symbolic expressions composed of basic mathematical operations. The student can plot elementary functions. The student can solve for the angles of a given triangle.
  The student is able to solve linear and quadratic equations, pairs of linear equations and most common types of equations containing roots, logarithms or exponentials.

  Course contents

  Integers, basic algebraic operations and their rules. Fractions and calculations with fractions. Using letters as symbols of numbers. Basic rules of manipulating expressions that contain symbols and numbers. Basic rules for simplifying mathematical expressions. Decimal numbers and accuracy of calculations with decimal numbers. Roots and fractional powers. Solving linear equations and pairs of linear equations. Solving simple equations containing roots. Coordinate system, straight line, parabola and other basic functions. Direct and inverse proportionality. Trigonometric functions solving the right angle. Exponential and logarithmic functions and related simple equations.

  Further information

  Course prepares for UAS studies: The goal is to develop mathematical skills.
  
  Course is delivered via Metropolia's Viope environment and it's 100% online (Self-Study) course.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  When you have done at least 80% of tasks, please send email to viopesupport@metropolia.fi.

  Language of instruction

  English

  Timing

  19.02.2021 - 31.07.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 1000

  Teacher(s)

  Mika Hyyryläinen

  Further information for students

  ENROLLING
  Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
  
  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.

•     Extending Game Development Tools TX00CR54-3006 15.03.2021-09.05.2021  5 credits  (TVT18-PE) + -
  Learning outcomes of the course

  Course description coming soon

  ---

  Mode of delivery

  Face-to-face

  Language of instruction

  Tuition in Finnish

  Timing

  15.03.2021 - 09.05.2021

  Enrollment date

  21.12.2020 - 07.03.2021

  • 5 credits

  Group(s)

  • TVT18-PE

  Seats

  20 - 30

  Teacher(s)

  Antti Veräjänkorva

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Finnish for Foreigners 1 TT00ER83-3002 10.02.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  On completion of the course the student will be able to introduce and tell someone about himself or herself or another person, ask simple questions and answer questions about familiar topics, use greetings and numbers, tell the time and tell location. The student’s communication skills correspond to the skill level A1.1 of the Common European Framework of Reference for Languages.

  Course contents

  Oral and written communication in simple everyday situations and daily routines: meeting people, eating and shopping. Key vocabulary. Basic grammatical structures, for example conjugating verbs in present tense, verb types, the partitive case and the six local cases. Finnish culture and customs.

  Assessment criteria

  Satisfactory

  The student is able to repeat a greeting and tell the very basics about himself or herself according to a given model. The student can repeat familiar sentences, form questions and answers according to a model, tell time when asked and, as a customer, identify the basic vocabulary concerning eating and shopping. The student is able to identify some verb forms, verb types and nominal cases in a short text. The student knows some basic features about the Finnish language and culture.

  Good

  The student is able to reply to a greeting and tell basic things about himself or herself using different sentence structures. The student can, when instructed, apply familiar grammatical structures. He or she is able to tell time in a familiar context. The student is able to understand a simple, short dialog concerning eating and shopping. The student can ask and answer simple questions in familiar contexts. The student understands some basic features about the Finnish language and culture.

  Excellent

  The student is able to take initiative in greeting and to apply familiar expressions and vocabulary to tell some more about himself or herself. The student can apply familiar grammatical structures to new contexts. The student is able to participate in a simple conversation concerning telling time, eating and shopping in a familiar situation or following given models. The student is able to ask and answer questions in simple and familiar everyday situations. The student expresses interest in the Finnish language and culture.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To pass this course you have to do at least 80% of course.

  Language of instruction

  English

  Timing

  10.02.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 100

  Teacher(s)

  Janne Salonen

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course environment is Metropolia's Viope and course can be done in own pace.

•     Finnish for Foreigners 2 TT00ER84-3002 10.02.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  On completion of the course the student will be able to talk or read about and write brief texts about his or her background, home and working day and understand simple clearly spoken Finnish in familiar everyday situations. The student’s communication skills correspond to the skill level A1.2?A1.3 of the Common European Framework of Reference for Languages.

  Course contents

  Oral and written communication in simple everyday situations: working day, housing, leisure and celebrations. Expanding basic vocabulary. Expanding basic grammar, for example nominal types, declining nominals and the consonant change. Key characteristics of spoken Finnish. Finnish culture and customs.

  Assessment criteria

  Satisfactory

  The student is able to tell basic things about himself or herself and about his or her home, working day and leisure time, and to understand similar information in the communication partner’s speech. The student is able to identify the nominal types and nominal declension in familiar texts as well as the consonant change in familiar words. The student knows some basic features about the Finnish language, culture and customs.

  Good

  The student is able to tell about himself or herself using diverse sentence structures in familiar everyday situations. The student is able to use some basic vocabulary in speaking and in writing. The student can apply familiar grammatical structures following given instructions. The student understands some basic features about the Finnish language, culture and customs.

  Excellent

  The student is able to apply the expressions and vocabulary he or she has learnt to tell something more about himself or herself and to ask questions about the communication partner’s life. The student is able to acquire vocabulary he or she needs and use it in everyday situations. The student is able to apply the grammar he or she has learnt to new words and expressions. The student expresses interest in the Finnish language, culture and customs.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To pass this course you have to do at least 80% of course.

  Language of instruction

  English

  Timing

  10.02.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 100

  Teacher(s)

  Janne Salonen

  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course environment is Metropolia's Viope and course can be done in own pace.

•     Finnish for Foreigners 3 TT00ER85-3002 10.02.2021-31.12.2021  5 credits  (VIOPE_NonStop) + -
  Learning outcomes of the course

  On completion of the course the student will be able to participate in simple conversations, read and understand simple texts with the aid of a dictionary and write simple texts about familiar topics, for example his or her background, personal history and daily activities. The student’s communication skills correspond to the skill level A2.1 of the Common European Framework of Reference for Languages.

  Course contents

  Oral and written communication in everyday contexts: speaking on the phone, talking about seasons and weather, spending time with friends, leisure time activities. New grammatical structures, for example expressing necessity and opinion, past tense. Basic features of colloquial Finnish. Features of the Finnish way of life.

  Assessment criteria

  Satisfactory

  The student is able to reply to questions in a simple conversation. The student is able to compose short and simple texts concerning everyday life. The student is able to identify expressions of necessity and opinion as well as past tense in familiar texts. The student knows some basic features about colloquial Finnish and the Finnish way of life.

  Good

  The student is able to communicate understandably in a simple conversation in his or her turn, and he or she can even further the conversation for example by asking questions. The student is able to understand short texts concerning everyday life with the aid of a dictionary and to compose simple understandable texts on familiar topics. The student can apply familiar grammatical structures when instructed. The student understands some basic features of colloquial Finnish and of the Finnish way of life.

  Excellent

  The student is able to participate in simple conversations concerning familiar everyday topics both as a listener and as a speaker and even to promote interaction. The student’s speech is fairly clear and understandable. The student is able to understand short texts concerning everyday life with the aid of a dictionary, even when the topic is not related to his or her immediate environment, and to compose understandable texts on familiar topics. The student is able to apply the grammar he or she has learnt to new words and expressions. The student expresses interest in colloquial Finnish and the Finnish way of life.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online

  Planned learning activities and teaching methods

  100% online (Self-Study) course.

  Assessment methods and criteria

  To pass this course you have to do at least 80% of course.

  Language of instruction

  English

  Timing

  10.02.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • VIOPE_NonStop

  Seats

  0 - 100

  Teacher(s)

  Janne Salonen

  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

  Online

  International connections

  N/A

  Students use of time and load

  Up to Student her-/himself.

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course environment is Metropolia's Viope and course can be done in own pace.

•     French for Beginners TX00EL34-3001 10.09.2020-31.05.2021  5 credits + -
  Learning outcomes of the course

  After having completed the course, the students will manage in common everyday and basic professional interactions in French. They will be acquainted with the French culture and communication style, have necessary elementary vocabulary and grammatical understanding to contribute to (mostly oral) interaction.

  Prerequisites and co-requisites

  No previous studies required

  Course contents

  The students will learn and practise French vocabulary and grammatical structures in class with a vast array of communicative exercises, complete the given written assignments also in the web platform and pass the exam at the end of the course.

  Assessment criteria

  Satisfactory

  The students have achieved the basic requirements of the course to a somewhat moderate level.

  Good

  The students have achieved the basic requirements of the course to a satisfactory or good level. They are able to apply their knowhow in diverse personal and professional situations.

  Excellent

  The student has achieved the basic requirements of the course to an excellent level. They are able to express themselves with relative ease even in more demanding professional contexts and to use diverse communicational strategies.

  ---

  Name of lecturer(s)

  Jonita Martelius

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Recommended or required reading

  'Grammaire en dialogues - niveau débutant'

  Language of instruction

  Tuition in Finnish

  English

  Timing

  10.09.2020 - 31.05.2021

  Enrollment date

  04.05.2020 - 06.09.2020

  • 5 credits

  Seats

  0 - 30

  Teacher(s)

  Jonita Martelius

  Further information for students

  Contact lessons on Thursdays at 16:30 - 18:30 at Myllypuro campus.

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Virtual proportion

  2 credits

  Evaluation scale

  0-5

  Location and Time

  Contact lessons on Thursdays at 16:30 - 18:30 at Myllypuro campus.

•     Functional Programming TX00CR61-3007 19.10.2020-13.12.2020  5 credits  (TVT18K-O) + -
  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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 5 credits

  Group(s)

  • TVT18K-O

  Seats

  0 - 40

  Teacher(s)

  Peter Hjort

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Myllypurontie 1

  Evaluation scale

  0-5

•     Fundamentals of Artificial Intelligence TT00EM55-3001 01.10.2020-31.12.2021  5 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  This course is a gentle introduction to the concepts and methodologies in Artificial Intelligence from both theoretical and practical perspectives. This includes designing intelligent agents through techniques such as state-space search methods and Machine Learning. At the end of this course, students are expected to be able to develop intelligent solutions for semi real-world problems through appropriate methods that are discussed in the course. Furthermore, they are expected to gain knowledge and experience to analyze inner working of the methods and customize for specific problems. They will also get familiar with three main branches of Artificial Intelligence such as Computer Vision, Natural Language Processing and Speech processing and they will find their interest among them.
  
  This course is 100% virtual thanks to the comprehensive interactive material and content made for this course.
  
  The student will pass this course after submitting required assignments, quiz, and projects.

  Course contents

  1. Introduction:
  What is AI? - Philosophy and history of AI - AI concepts and Some Practical Applications - Python Overview
  
  2. Problem Space and Search:
  Problem Solving Agent - Uninformed Search - Informed Search – Search in Continuous Space – Beyond Classical Search – Constraint Satisfaction Problem
  
  3. Games:
  What are Games? - Mini-Max Algorithm - Alpha-Beta Pruning – Some Famous Game Agents – Game Theory
  
  4. Machine Learning:
  Introduction to Probability - What is Machine Learning? - Classification and regression – Neural Network -
  
  5. Markov Models:
  Markov Decision Process - Hidden Markov Model
  
  6. Reinforcement Learning:
  Introduction - Passive Learning vs Active Learning – Exploration and Decision Making
  
  6. Applications:
  Natural Language Processing – Speech Processing – Computer Vision

  Assessment criteria

  Satisfactory

  - The student knows the basic definitions of Artificial Intelligence and applications of AI.
  - The student knows different types of Artificial Intelligence agents and environments.
  - The student knows different type of search.
  - The student knows what games are.
  - The student knows the what is machine learning and different types of it.
  - The student is familiar with Probability and Python.

  Good

  - The student knows different type of search in detail and when to use them.
  - The student knows strategies for winning a game.
  - The student knows Linear and Logistic Regression and Naïve Bayes.
  - The student knows what a Markov Model is and can model real life problem with it.
  - The student knows what Neural Network.
  - The student knows what Reinforcement Learning is difference of it with Machine Learning.

  Excellent

  - The student can implement different type of search such as DFS, BFS, etc.
  - The student knows what Convex Optimization is and can optimize a convex function.
  - The student knows what Game Theory is and can find Nash Equilibrium of it.
  - The student knows how to implement Linear Regression, Logistic Regression and Naïve Bayes.
  - The student knows elements of a Hidden Markov Model and can model real life problem with it.
  - The student knows difference between Passive Learning and Active Learning.
  - The student knows some basic intuition about Computer Vision, NLP and Speech Processing.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content made for this course.
  
  Course includes:
  - Tutorial Videos
  - Assignments
  - Quiz
  - Projects
  - Self-study

  Assessment methods and criteria

  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Content periodicity

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Location and Time

  Course is in TechClass environment and it can be done in own pace.

•     Fundamentals of Deep Learning TT00EO93-3001 01.01.2021-31.12.2021  5 credits  (ATX21TV) + -
  Learning outcomes of the course

  Deep learning is a new area of machine learning that is concerned with algorithms inspired by the brain’s structure and functionality. Deep learning is evolving as one of the crucial practices in industries like manufacturing, hospitality, digital assistants, automotive, etc. This is an introductory course that provides a unique opportunity for the student to get familiar with the basic concepts of deep learning. After passing this course, the student will be familiar with different types of deep learning architectures and models and the intuitions behind them. In fact, the student gets acquainted with variations of the neural network algorithm, which are used for various types of data. Furthermore, the most critical concepts and techniques of deep learning in today’s industry have been discussed.
  This course is 100% virtual, thanks to the comprehensive tutorial videos and content prepared for this course.
  The student will pass this course after submitting the required quiz, assignments, and the final project.

  Course contents

  1. Introduction to Machine Learning:
  The Concept of Learning – Data – Machine Learning – Supervised Learning – Unsupervised Learning – Applications
  2. Introduction to Deep Learning:
  What is Deep Learning? – Deep Learning Architectures – Deep Learning vs. Machine Learning – Artificial Neural Network vs. Biological Neural Network – History of Deep Learning
  3. Feed-Forward Neural Networks:
  A Single Neuron – Neural Networks – Training Neural Networks – Prediction and Evaluation – Bias and Variance – Regularization – Model Selection and Hyperparameters
  4. Convolutional Neural Networks:
  Motivation for Convolutional Layers – Convolutional Layer – Pooling Layer – Convolutional Networks – Analogy Between CNNs and Human Visual System – Popular CNN Architectures – Applications
  5. Sequence Models:
  Motivation for Sequence Models – Recurrent Neural Networks – Variations of RNN – Encoder-Decoder – Attention Mechanism – Applications
  6. What’s More?
  Transfer Learning – Autoencoders – Generative Adversarial Networks – Deep Learning Frameworks
  7. Final Tasks:
  Project – Self-study Essay

  Assessment criteria

  Satisfactory

  - The student knows the basic definitions of Deep Learning.
  - The student knows the general difference between Machine Learning and Deep Learning.
  - The student knows the primary types of Deep Learning methods.
  - The student is familiar with the concept of mapping that learning algorithms perform.
  - The student is familiar with variations of Neural Network algorithms used for different applications.

  Good

  - The student is familiar with basic concepts of the Neural Network algorithm such as wight and neuron.
  - The student knows the reasons for the advent of Deep Learning and its history.
  - The student knows the intuitions behind Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
  - The student is familiar with the steps of training and evaluating Neural Networks.
  - The student knows the applications of CNNs and RNNs.

  Excellent

  - The student understands the concepts and intuitions behind the Neural Network algorithm.
  - The student knows the concepts of regularization, overfitting, and hyperparameters selection.
  - The student knows layers of CNNs.
  - The student is familiar with the popular architectures of CNNs.

  ---

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  100% online Self-Study course.
  
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 50%
  Quizzes 25%
  Project 25%

  Language of instruction

  English

  Timing

  01.01.2021 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV

  Seats

  0 - 5000

  Teacher(s)

  Virve Prami

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 40h
  Exercises = 15h
  Self-study = 40h
  Quizzes = 10h
  Project = 30h
  Total = 135 hours

  Content periodicity

  Up to student her-/himself.

  Location and Time

  Course can be done in own pace in TechClass environment.

•     Fundamentals of Digital Media TX00CD61-3008 24.08.2020-11.10.2020  15 credits  (TVT19-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

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • TVT19-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Mika Seppälä, Juha Kopu, Toni Spännäri

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Fundamentals of Machine Learning TT00EM56-3001 01.10.2020-31.12.2021  5 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  This is an introductory course which provides a unique opportunity for the student to be familiar with the basic concepts of Machine Learning. After passing this course, the student will be able to understand different types of Machine Learning algorithms as well as the intuitions behind them. Furthermore, real-world applications of the methods are given throughout the course to prepare the student’s mind for future academic and professional opportunities.
  
  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  The student will pass this course after submitting required quiz and assignments.

  Course contents

  1. Introduction:
  Why Machine Learning? – Types of Machine Learning – History and Philosophy – Why Python?
  
  2. Supervised Learning:
  Classification vs. Regression – Linear Regression – Logistic Regression – Linear Support Vector Machines – Kernelized Support Vector Machines – K-Nearest Neighbors – Decision Tree
  
  3. Data Preprocessing
  Why Preprocessing? – Data Imputation – Feature Encoding – Feature Scaling
  
  4. Unsupervised Learning:
  Dimensionality Reduction – Clustering
  
  5. Model Development:
  Model Selection - Model Evaluation

  Assessment criteria

  Satisfactory

  - The student knows the basic definitions of Machine Learning.
  - The student knows the general framework of Machine Learning algorithms.
  - The student knows the primary types of Machine Learning methods.
  - The student is familiar with the history of artificial intelligence and machine learning.
  - The student knows the important real-life applications of Machine Learning.

  Good

  - The student knows the intuitions behind the linear regression and logistic regression.
  - The student knows how K-NN method works.
  - The student is familiar with the general concept of data preprocessing.
  - The student is familiar with the curse of dimensionality and the need for dimensionality reduction.
  - The student is familiar with the general framework of clustering algorithms.
  - The student is familiar with the decision trees in general.

  Excellent

  - The student understands the intuition behind the linear and kernelized SVM.
  - The student understands the intuition behind the decision tree classifier.
  - The student understands the intuition behind preprocessing methods such as imputation, feature encoding, and feature scaling.
  - The student knows the intuitions behind the data clustering using k-means method.
  - The student knows the intuitions behind using PCA to represent data in lower dimensional space.
  - The student knows the key concepts of model selection and model evaluation in Machine Learning
  - The student knows when to use different model selection/evaluation criteria to compare different models and to choose the best among them.

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  Course includes:
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 5 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  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

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 40h
  Assignments = 25h
  Self-study = 40h
  Quiz = 5h
  Project = 20h
  Essay = 5h
  Total = 135 hours

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Course is online in TechClass portal and can be done in own pace.

•     Fundamentals of Scrum and Becoming a Product Owner TT00EM57-3001 01.10.2020-31.12.2021  8 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  The goal of this course is for students to get familiar with Agile Methodologies and its Frameworks, such as Scrum, Kanban, and XP. The student will learn about the events, artifacts, and rules in an agile management system. After passing this course, the students will be able to join any kind of agile team and engage with the development team more effectively. In the end, the students will get familiar with Trello and Jira, two of the most useful and well-known agile management tools.
  
  The student will specifically get familiar with the topics related to becoming a Scrum Master to lead agile and scrum teams.
  
  The student will also get prepared for the Scrum Master Certificates.
  
  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  The student will pass this course after submitting the required quiz and assignments.

  Course contents

  What is Agile? - Agile Values and Principles – Scrum: The most common approach (Scrum Team Members - Scrum’s primary Artifacts - Scrum Events - Scrum Board - Scrum Charts) - Extreme programming – Kanban - Introducing Trello and Jira - Introduction to Azure DevOps - Getting more into the details – Preparing to become a Product Owner

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in TechClass envionment.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  Course includes:
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 8 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 100

  Teacher(s)

  Virve Prami

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Virtual proportion

  8 credits

  Evaluation scale

  0-5

  Completion alternatives

  N/A

  Work placement(s)

  N/A

  Exam schedule

  Online.

  International connections

  N/A

  Students use of time and load

  Lectures = 80h
  Assignments = 50h
  Self-study = 80h
  Quiz = 10h
  Project = 40h
  Essay = 10h
  Total = 270 hours

  Content periodicity

  Up to Student her-/himself.

  Location and Time

  Online in TechClass envionment and course can be done in own pace.

•     Fundamentals of Scrum and becoming a Scrum Master TT00EM75-3001 01.10.2020-31.12.2021  8 credits  (ATX21TV, ...) + -
  Learning outcomes of the course

  The goal of this course is for students to get familiar with Agile Methodologies and its Frameworks, such as Scrum, Kanban, and XP. The student will learn about the events, artifacts, and rules in an agile management system. After passing this course, the students will be able to join any kind of agile team and engage with the development team more effectively. In the end, the students will get familiar with Trello and Jira, two of the most useful and well-known agile management tools.
  The student will specifically get familiar with the topics related to becoming a Scrum Master to lead agile and scrum teams.
  The student will also get prepared for the Scrum Master Certificates.

  Course contents

  What is Agile? - Agile Values and Principles
  Scrum: The most common approach (Scrum Team Members - Scrum’s primary Artifacts - Scrum Events - Scrum Board - Scrum Charts)
  Extreme programming
  Kanban
  Introducing Trello and Jira
  Introduction to Azure DevOps - Getting more into the details
  Preparing to become a Scrum Master

  ---

  Name of lecturer(s)

  Janne Salonen

  Mode of delivery

  Distance learning

  Recommended or required reading

  Online in TechClass environment.

  Planned learning activities and teaching methods

  This course is 100% virtual thanks to the comprehensive interactive material and content prepared for this course.
  
  Course includes:
  - Tutorial Videos
  - Exercises
  - Quiz
  - Project
  - Self-study

  Assessment methods and criteria

  Exercises 30%
  Quizzes 20%
  Project 40%
  Essay 10%

  Language of instruction

  English

  Timing

  01.10.2020 - 31.12.2021

  • 8 credits

  Group(s)

  • ATX21TV
  • ATX20TV

  Seats

  0 - 1000

  Teacher(s)

  Virve Prami

  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

  Online in TechClass environment.

  International connections

  N/A

  Students use of time and load

  Lectures = 80h
  Assignments = 50h
  Self-study = 80h
  Quiz = 10h
  Project = 40h
  Essay = 10h
  Total = 270 hours

  Content periodicity

  Lectures = 80h
  Assignments = 50h
  Self-study = 80h
  Quiz = 10h
  Project = 40h
  Essay = 10h
  Total = 270 hours

  Location and Time

  Course is online in TechClass environment and it can be done in own pace.

•     Fundamentals of Web Development TX00CD62-3008 19.10.2020-13.12.2020  15 credits  (TVT19-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

  19.10.2020 - 13.12.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • TVT19-M

  Seats

  0 - 40

  Teacher(s)

  Ilkka Kylmäniemi, Ulla Sederlöf, Vesa Ollikainen, Jaakko Pitkänen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Design TX00CD87-3013 24.08.2020-11.10.2020  5 credits  (TVT19-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

  24.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 5 credits

  Group(s)

  • TVT19-PE

  Seats

  0 - 40

  Teacher(s)

  Joonas Häll

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3015 19.10.2020-13.12.2020  15 credits  (TXK20K1-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

  19.10.2020 - 13.12.2020

  Enrollment date

  04.05.2020 - 16.10.2020

  • 15 credits

  Group(s)

  • TXK20K1-A

  Seats

  0 - 35

  Teacher(s)

  Heini Puuska, Mikko Pere, Sonja Holappa, Juha Kopu, Matti Peltoniemi

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3019 20.08.2020-11.10.2020  15 credits  (TXK20S1-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

  20.08.2020 - 11.10.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • TXK20S1-D

  Seats

  0 - 30

  Teacher(s)

  Mikko Pere, Juha Kopu, Ulla Forsström, Matti Peltoniemi, Jonita Martelius, Kari Aaltonen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3020 19.10.2020-13.12.2020  15 credits  (TXK20S1-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

  19.10.2020 - 13.12.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • TXK20S1-E

  Seats

  0 - 30

  Teacher(s)

  Heini Puuska, Sonja Holappa, Heikki Lauranto, Ulla Forsström, Miikka Mäki-Uuro, Jaakko Pitkänen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3021 11.01.2021-14.03.2021  15 credits  (TXK20S1-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

  11.01.2021 - 14.03.2021

  Enrollment date

  12.11.2020 - 10.01.2021

  • 15 credits

  Group(s)

  • TXK20S1-C

  Seats

  0 - 32

  Teacher(s)

  Heini Puuska, Mikko Pere, Ulla Paatola, Juha Kopu, Ulla Forsström, Matti Peltoniemi, Kari Aaltonen

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3022 15.03.2021-09.05.2021  15 credits  (TXK20S1-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

  15.03.2021 - 09.05.2021

  Enrollment date

  12.11.2020 - 10.01.2021

  • 15 credits

  Group(s)

  • TXK20S1-B

  Seats

  0 - 31

  Teacher(s)

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

  Unit, in charge

  School of ICT

  Degree Programme

  Information and Communication Technology

  Unit location

  Karaportti 2

  Evaluation scale

  0-5

•     Game Development TX00DJ96-3023 19.10.2020-13.12.2020  15 credits  (TXK20S1-F) + -
  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

  19.10.2020 - 13.12.2020

  Enrollment date

  01.01.2020 - 01.01.2020

  • 15 credits

  Group(s)

  • TXK20S1-F

  Seats

  0 - 35

  Teacher(s)

  Berit Mannfors, Sonja Holappa, Ulla Forsström, Matti Peltoniemi, Jaakko Pitkänen

  Unit, in charge