Information and Communication Technology - Curricula

Information and Communication Technology
Bachelor of Engineering, 240 ECTS

Bachelor of Engineering, BEng

Academic year 2020 - 2021

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 - 99

Teacher(s)

Tapio Wikström

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

Hyväksytty/Hylätty
Administration Essentials for Salesforce TT00CC69-3007 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 Usage of Office Programs TT00CJ90-3007 01.01.2021-31.12.2021 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 study environment

Planned learning activities and teaching methods

Online Self-study course.

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 - 31.12.2021
- 6 credits
Group(s)
- ATX21TV
Seats

0 - 5000

Teacher(s)

Virve Prami

Further information for students

Course fee is 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

Depends of Student her-/himself.

International connections

N/A

Students use of time and load

Depends of Student her-/himself.

Content periodicity

Depends of Student her-/himself.

Location and Time

Depends Student her-/himself.
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

Face-to-face

Language of instruction

English

Timing

11.01.2021 - 09.05.2021

Enrollment date

30.11.2020 - 10.01.2021
- 5 credits
Group(s)
- TXK20S2
Seats

0 - 30

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
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
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 (ATX20TV, ...) + -
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)
- ATX20TV
- ATX21TV
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 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.
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

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

Information and Communication Technology, Degree Programme in Information Technology

Unit location

Karaportti 2

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 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 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
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 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
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 TT00VI06-3011 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)

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 01.01.2021-31.07.2021 4 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021
- 4 credits
Group(s)
- ATX21TVK
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 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
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)

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/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
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.
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
Communication Networks TX00CD36-3009 24.08.2020-31.12.2020 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 - 31.12.2020

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
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 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 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
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
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
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 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
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
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 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 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021

Enrollment date

02.07.2020 - 02.07.2020
- 3 credits
Group(s)
- ATX21TVK
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.
Docker TT00EM54-3001 01.10.2020-31.12.2021 5 credits (ATX20TV, ...) + -
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)
- ATX20TV
- ATX21TV
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 100% online (Self-Study) course in TechClass environment.
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 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 01.01.2021-31.07.2021 5 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021

Enrollment date

01.06.2020 - 30.06.2020
- 5 credits
Group(s)
- ATX21TVK
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 01.01.2021-31.07.2021 5 credits (ATX21TVK) + -
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

01.01.2021 - 31.07.2021

Enrollment date

02.07.2020 - 02.07.2020
- 5 credits
Group(s)
- ATX21TVK
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 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 TX00BP91-3141 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 TT00DC87-3005 01.01.2021-31.12.2021 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 contents

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

Assessment criteria

Satisfactory

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

Good

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

Excellent

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

Mode of delivery

Distance learning

Recommended or required reading

Online in study environment.

Planned learning activities and teaching methods

100% Online Self-study course.

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 - 31.12.2021
- 6 credits
Group(s)
- ATX21TV
Seats

0 - 5000

Teacher(s)

Virve Prami

Further information for students

Course fee is 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.
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 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.
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 (ATX20TV, ...) + -
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)
- ATX20TV
- ATX21TV
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 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 01.10.2020-31.12.2020 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 - 31.12.2020
- 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

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 (ATX20TV, ...) + -
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)
- ATX20TV
- ATX21TV
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 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, tivi virtuaali::mediatekniikka, 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 TX00DJ96-3023 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

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Game Engines TX00CD89-3013 19.10.2020-13.12.2020 5 credits (TVT19-PE) + -
Learning outcomes of the course

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

Course contents

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

Assessment criteria

Satisfactory

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

Good

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

Excellent

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

Further information

Course includes a game implementation project.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

19.10.2020 - 13.12.2020

Enrollment date

01.01.2020 - 01.01.2020
- 5 credits
Group(s)
- TVT19-PE
Seats

0 - 40

Teacher(s)

Antti Laiho

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Game Mathematics TX00CD91-3009 24.08.2020-11.10.2020 5 credits (TVT19-PE) + -
Learning outcomes of the course

The main objective of the course is to enhance mathematical knowledge and skills of the first year’s studies from the point of view of game programming. The student will understand mathematical principles in image formation (—> computer graphics), describing motion and collision of objects, and he or she will be able to apply them on a computer. In addition to these the student will learn fundamentals of logical structures and graph theory.

Prerequisites and co-requisites

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

Course contents

1) Concepts of matrix and vector with applications
2) Projections in practice
3) 2D and 3D matrix transforms
4) Fundamentals of logic and graph theory

Assessment criteria

Satisfactory

The student knows and understands the key concepts dealt in the course and knows how to apply them in simple modelling problems.

Good

The student is able to adopt and combine new knowledge and skills required in more demanding applications. He or she knows many practices of the subject.

Excellent

The student knows thoroughly the contents of the subject dealt in the course with the practical skills needed to perform tasks on a computer. He or she is motivated to use and develop one’s knowledge and skills independently.

Further information

The student will apply, what he or she has learned, with a computer.

Name of lecturer(s)

Jaakko Pitkänen

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

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)

Jaakko Pitkänen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Game Physics TX00CD88-3008 19.10.2020-13.12.2020 5 credits (TVT19-PE) + -
Learning outcomes of the course

The course supplements the student’s first year’s curriculum in physics. After completing the course, the student

- appreciates the key role of physics in realistic description of motion, as required in modern game programming
- is familiar with the terminology and theoretical background of common physics engines
- is able to model and compute the trajectories and collisions of objects using laws of physics
- is capable of estimating the amount of computational resources necessary for physics calculations on various levels

Prerequisites and co-requisites

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

Course contents

- recognizing and modelling different types of forces
- particle motion in a force field
- collisions between objects
- rotational motion
- rigid body dynamics
- numerical computation of trajectories in animations

Assessment criteria

Satisfactory

The student is familiar with the most essential concepts introduced during the course, and is able to employ them in analyzing simple situations involving object motion.

Good

The student is able to combine different subjects included in the course material, and is capable of utilizing this knowledge in creating more advanced computer animations.

Excellent

In addition to a thorough understanding of all the relevant concepts introduced in the course, the student exhibits independent ability and motivation to further improve his/her understanding beyond the course’s contents.

Name of lecturer(s)

Juha Kopu

Mode of delivery

Face-to-face

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-PE
Seats

0 - 40

Teacher(s)

Juha Kopu

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Game Programming and AI TX00CG88-3006 24.08.2020-13.09.2020 5 credits (TVT18-PE) + -
Learning outcomes of the course

Student learns principles of various artificial intelligence techniques that are applicable in games. In practice, he/she is able to choose and implement necessary techniques in game programming projects. He/she knows basics in machine learning.

Course contents

The course covers various artificial intelligence techniques in computer games. Student will get both a solid theoretical foundation in AI and hands on experience in building working AI systems. Topics will include movement algorithms, path finding, decision making algorithms, game trees and machine learning

Assessment criteria

Satisfactory

Student has learned the most important AI techniques covered, both in theory and in practice. Student is able to apply AI techniques in simple situations.

Good

Student has learned most of the AI techniques covered, both in theory and in practice. Student is able to apply AI techniques in his own gaming projects.

Excellent

Student has learned all the AI techniques covered, both in theory and in practice. Student is able to apply and modify AI techniques in his own gaming projects.

Further information

Data structures and algorithms, C++

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 13.09.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- TVT18-PE
Seats

0 - 40

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
Game Programming with Unity TT00DU32-3004 01.01.2021-31.07.2021 5 credits (ATX21TVK) + -
Learning outcomes of the course

During the course student gets familiar with basic usage of Unity Game Engine. In order to develope a game, various skills are required from the programmer and other personnel involved developing game, and also game engine are used in a different ways. Unity can be used to create game level fields, graphics and images and 3D models, and writing code. You don't have to be expert in every field of Unity, you can specialize in certain part and functionality of Unity.

Prerequisites and co-requisites

None

Course contents

1. Basics of Unity
2. Unity as Field editor
3. Components and physics simulations
4. Basics of Programming with Unity
5. Scripts.
6. Scripts - Driving Game

Name of lecturer(s)

Janne Salonen

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

Self-Study online course in Viope.
NOTICE! Course material is in Finnish

Assessment methods and criteria

Kurssista saa hyväksytty merkinnän kun siitä on suoritettu vähintään 80% (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 31.07.2021
- 5 credits
Group(s)
- ATX21TVK
Seats

0 - 5000

Teacher(s)

Mika Hyyryläinen

Further information for students

ILMOITTAUTUMINEN
- Avoimen AMK:n sekä CampusOnline opiskelijat: e-lomake
- Metropolian tutkinto-opiskelijat: https://vw4.viope.com/login?org=metropolia. Rekisteröidy klikkaamalla sisäänkirjautumisikkunan vasemmasta laidasta Ilmoittaudu kurssille (Enroll on the Course). Valitse jokin Viope-kurssi, jonka lopussa lukee tämä täsmenne: (NonStop). Täytä muut tähdellä merkityt kohdat. Nyt voit aloittaa myös muita Viopen ohjelmointikursseja, joissa on sama täsmenne (NonStop). (not translated)

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

N/A

International connections

N/A

Students use of time and load

Up to Student her-/himself.
NOTICE! Course material is in Finnish

Content periodicity

NOTICE! Course material is in Finnish
1. Basics of Unity
2. Unity as Field editor
3. Components and physics simulations
4. Basics of Programming with Unity
5. Scripts.
6. Scripts - Driving Game

Location and Time

Self-Study online course in Viope.
NOTICE! Course material is in Finnish
Game Programming with Unity TT00DU32-3003 01.08.2020-31.12.2020 5 credits (ATX20TVS) + -
Learning outcomes of the course

During the course student gets familiar with basic usage of Unity Game Engine. In order to develope a game, various skills are required from the programmer and other personnel involved developing game, and also game engine are used in a different ways. Unity can be used to create game level fields, graphics and images and 3D models, and writing code. You don't have to be expert in every field of Unity, you can specialize in certain part and functionality of Unity.

Prerequisites and co-requisites

None

Course contents

1. Basics of Unity
2. Unity as Field editor
3. Components and physics simulations
4. Basics of Programming with Unity
5. Scripts.
6. Scripts - Driving Game

Name of lecturer(s)

Janne Salonen

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

Self-Study online course in Viope.
NOTICE! Course material is in Finnish

Assessment methods and criteria

Kurssista saa hyväksytty merkinnän kun siitä on suoritettu vähintään 80% (not translated)

Language of instruction

Tuition in Finnish

Timing

01.08.2020 - 31.12.2020

Enrollment date

29.04.2019 - 30.04.2019
- 5 credits
Group(s)
- ATX20TVS
Seats

0 - 5000

Teacher(s)

Mika Hyyryläinen

Further information for students

ILMOITTAUTUMINEN
- Avoimen AMK:n sekä CampusOnline opiskelijat: e-lomake
- Metropolian tutkinto-opiskelijat: https://vw4.viope.com/login?org=metropolia. Rekisteröidy klikkaamalla sisäänkirjautumisikkunan vasemmasta laidasta Ilmoittaudu kurssille (Enroll on the Course). Valitse jokin Viope-kurssi, jonka lopussa lukee tämä täsmenne: (NonStop). Täytä muut tähdellä merkityt kohdat. Nyt voit aloittaa myös muita Viopen ohjelmointikursseja, joissa on sama täsmenne (NonStop). (not translated)

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

N/A

International connections

N/A

Students use of time and load

Up to Student her-/himself.
NOTICE! Course material is in Finnish

Content periodicity

NOTICE! Course material is in Finnish
1. Basics of Unity
2. Unity as Field editor
3. Components and physics simulations
4. Basics of Programming with Unity
5. Scripts.
6. Scripts - Driving Game

Location and Time

Self-Study online course in Viope.
NOTICE! Course material is in Finnish
Game Server Programming TX00CG90-3006 24.08.2020-11.10.2020 5 credits (TVT18-PE) + -
Learning outcomes of the course

After completing this course student:
- Can define and build background systems for games
- Can work with stable and safe technologies that are used with background systems
- Can build web service based on REST architecture
- Can create NoSQL database and use MongoDB database to store and read data for scalable games.
- Can extend Photon Server with custom web service and plugins

Prerequisites and co-requisites

Tietokannat ja pelipalvelimet, tietorakenteet ja algoritmit, ohjelmistoarkkitehtuurit ja -mallit

Course contents

Content of the course includes topics like building scalable and safe background systems, cloud services and security and examples of typical background solutions of different games. The course includes also overview to NoSQL databases and detailed usage of MongoDB. During the course will be built web service based on REST architecture that saves and reads data from MongoDB database and works expansion for Photon Server.

Assessment criteria

Satisfactory

- Student understands basics of game background systems
- Student has been active on the course

Good

- Student has good knowledge of game background systems and can solve practical problems
- Students has passed required basic tasks

Excellent

- Student as adapted course topics very well
- Students has proven to be able to solve challenging tasks during course using skill learned on the course

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 11.10.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- TVT18-PE
Seats

0 - 40

Teacher(s)

Ville Sillanpää

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Game design and gamefication TT00DT54-3003 01.01.2021-31.12.2021 10 credits (ATX21TV) + -
Learning outcomes of the course

After completing the course, student can create valid game ideas, create a concept for them and understand what makes a good game or a game idea and knows methods how to improve it.

Prerequisites and co-requisites

None. Any experience developing, playing or analysing games helps. Course suites interest in any genre or platform.

Course contents

Video Game Designer course teaches you the secrets to game design and can used both for game design and gamefication. Your educator is a highly experienced game designer who has worked on 100 published titles and received 30 industry awards. The course offers a very practical approach to learn game design and covers following areas:
- game design theory
- ideas and concepts and how to evaluate those
- game designers work, what does it contain
- concept and design documents, what is essential
- how to be a good designer and how to design a good game
- monetisation and free to play (F2P)
- level design
- game design tools & methods
- game design process and production
- creating storyline, game texts or storybaords
- learn by examples
- lots of excercise
- templates, video and other material

Assessment criteria

Satisfactory

Student can deliver game concept which hold game but may lack focus, can be contrabictive with itself or provides a game already created . Game concept lacks a meaningful long term goal, core gameplay or the idea is not unique or game becomes soon repetetive.

Good

Student delivers solid game concept, but lacks one key area in the game concept being like focus, uniqueness or a game missing some key areas.

Excellent

Student can deliver a commercially potential game concept by creating a new unique game idea that has not yet been done or identifies a gap or need in the market or just holds a great game idea. Game concept provides a solid game core with clear and meaningful goal to the player, and the concept holds the focus in an understandable and easy to approach methed. Also student understand monetisation mechanics and can create a valid meta game.

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

100% Online (Self-Study) course.

Language of instruction

English

Timing

01.01.2021 - 31.12.2021
- 10 credits
Group(s)
- ATX21TV
Seats

0 - 100

Teacher(s)

Virve Prami

Further information for students

Course fee 150 euros (15 euros/ects).

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

10 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.
Google G Suite Connect TT00DP95-3003 01.01.2021-31.12.2021 3 credits (ATX21TV) + -
Learning outcomes of the course

After completing the course, students has ability to use Google G Suite Connect -tools in his/her work, and studies.

Course contents

Connect-Part of G Suite, including:

- Gmail
- Cloud Search
- Hangoouts
- Calender
- Groups
- Google+

Mode of delivery

Distance learning

Recommended or required reading

Can be find on Moodle.

Planned learning activities and teaching methods

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)

Ari Moilanen

Further information for students

ENROLMENTS

Open UAS Student via efrom

Metropolia's Degree Students direct in Viope
• Go to https://moodle.metropolia.fi/enrol/index.php?id=10328
• Enrolment key: G-Suite-Connect-2020
• Course material is in English but you can return your assignments with Finnish version.

After you have finish your course, you shall sent a message to course teacher ari.moilanen@metropolia.fi Teacher shall check out your assignments during a week and he will give you mark Pass if all assignments has been done correctly.

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Can be find via study environment.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Studen her-/himself.

Location and Time

This is Self-Study online course, so timetable and place is totally up to student.
Google G Suite Create TT00DO75-3004 01.01.2021-31.12.2021 3 credits (ATX21TV) + -
Learning outcomes of the course

- G Suite Create environment
- G Suite Create components and services
- Utilizing G Suite Create services at management of documents
- Connections to other services

Course contents

Google G Suite Create environment Google Drive, Google Docs, Google Sheets, Google Slides

Further information

Grading Approved/Fail

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
- 3 credits
Group(s)
- ATX21TV
Seats

0 - 5000

Teacher(s)

Ari Moilanen

Further information for students

ENROLLING

Open UAS Students via eform

Metropolia's Degree Students direct in Moodle

- Go to: https://moodle.metropolia.fi/course/view.php?id=10082
- Course key: G-Suite-Create-2020
- After you have done all of the exercises and return them in Moodle, please sent e-mail to ari.moilanen@metropolia.fi
- Grading is pass/fail

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Can be find in 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.
GraphQL TT00EM58-3001 01.10.2020-31.12.2021 5 credits (ATX20TV, ...) + -
Learning outcomes of the course

More and more teams are choosing GraphQL for their web APIs instead of (or alongside) REST. GraphQL queries give clients a high degree of flexibility in the way they request data from the server, avoiding issues such as over-etching or under-fetching of data, and allowing multiple resources to be retrieved in a single request.

In this course you will learn how to use GraphQL on the server-side as well as in client-side. All the main GraphQL concepts such as schema definition, queries, and mutations will be introduced, as well as solutions to common requirements such as handling authentication / authorization, and caching on the client side.

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 GraphQL? - Advantages of GraphQL - Disadvantages of GraphQL - GraphQL vs REST - Queries - Mutations - Schemas - Types - Validation - Execution - Introspection - Best Practices

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)
- ATX20TV
- ATX21TV
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

Up to Student her-/himself.

Location and Time

Online in TechClass environment and course can be done in own pace.
Graphics Programming TX00CG89-3006 19.10.2020-13.12.2020 5 credits (TVT18-PE) + -
Learning outcomes of the course

The student learns the principles and programming methods for producing 3D graphics

Prerequisites and co-requisites

Data Structures and Algorithms, Fundamentals of Programming, C++ programming

Course contents

- graphics APIs
- projections and transformations
- lighting models and texture mapping
- shader programming

Assessment criteria

Satisfactory

Graphics APIs:
- The student can produce simple 3D graphics using OpenGL library

Projections and transformations:
- The student knows what projections and transformations are

Lighting models and texture mapping:
- The student knows what lighting model and texture mapping are

Good

Graphics APIs:
- The student can produce 3D graphics using OpenGL library

Projections and transformations:
- The student knows what projections and transformations are and is able to define them with OpenGL library

Lighting models and texture mapping:
- The student knows what lighting model and texture mapping are

Excellent

Graphics APIs:
- The student can produce 3D graphics using OpenGL library

Projections and transformations:
- The student knows what projections and transformations are and is able to define them with OpenGL library

Lighting models and texture mapping:
- The student knows what lighting model and texture mapping are and is able to define them with OpenGL library

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

19.10.2020 - 13.12.2020

Enrollment date

04.05.2020 - 16.10.2020
- 5 credits
Group(s)
- TVT18-PE
Seats

0 - 40

Teacher(s)

Antti Veräjänkorva

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Health Robotics TX00CG38-3006 24.08.2020-11.10.2020 5 credits (TVT18-H) + -
Learning outcomes of the course

After completing the course, the student knows basics of robotics, recognizes health related robotics solutions, understands customer and usability perspectives, is familiar with opportunities and challenges in health robotics, and applies knowledge in future robotic applications design, implementation and utilization projects.

Course contents

• Various robotics applications and solutions
• Health robotic fundamentals and usage
• Special features of the application environment
• Ethics and responsibility issues of health robotics
• Future perspectives

Assessment criteria

Satisfactory

Student recognizes health robotics basics, identifies health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge.

Good

Student knows health robotics basics, understands health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge.

Excellent

Student thoroughly knows health robotics basics, has a high-level understanding of health related robotics solutions and their diverse perspectives, opportunities and challenges, and applies learned knowledge in advanced manner.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

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)

Päivi Laine, Timo Kasurinen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Health Technology Project 1 TX00CG27-3008 19.10.2020-13.12.2020 5 credits (TVT19-H) + -
Learning outcomes of the course

After completing the course, the student knows project management principles, uses team and project work skills, applies the knowledge and skills learned in this study module to the project focusing on human functionality measurement, and understands stakeholders’ roles and perspectives in the project.

Course contents

• Practice-oriented project
• Product and service development
• Team and project work
• Project management
• Project documentation

Assessment criteria

Satisfactory

Student has basic knowledge of team and project work skills and project management principles, and is part of a project team.

Good

Student knows team and project work skills and project management principles, and applies the knowledge and skills learned in this study module in the project.

Excellent

Student thoroughly knows team and project work skills and project management principles, and applies and develops the knowledge and skills learned in this study module in the project in advanced manner.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

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)

Mikael Soini, Juha Havukumpu

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Health Technology Project 3 TX00CG39-3006 19.10.2020-13.12.2020 5 credits (TVT18-H) + -
Learning outcomes of the course

After completing the course, the student applies team and project work skills, applies the knowledge and skills learned in this study module in the project work focusing on medical device development, understands authorities controlling product development and stakeholders’ roles and perspectives, and understands and uses quality and risk management basics in the project.

Course contents

• Practice-oriented project
• Medical devices
• Medical device related statutes, decrees, directives and regulating authorities
• Quality control and related standards
• Risk assessment

Assessment criteria

Satisfactory

Student uses team and project work skills, is part of a team in the project, and recognizes authority specifications and quality and risk management basics in the project.

Good

Student applies team and project work skills, applies the knowledge and skills learned in this study module in the project, and understands authority specifications and quality and risk management basics in the project.

Excellent

Student applies and develops team and project work skills, applies and develops the knowledge and skills learned in this study module in the project in advanced manner, and understands and utilizes authority specifications and quality and risk management basics in the project.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

19.10.2020 - 13.12.2020

Enrollment date

04.05.2020 - 16.10.2020
- 5 credits
Group(s)
- TVT18-H
Seats

0 - 40

Teacher(s)

Matti Fischer, Mikael Soini

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
IT Security TX00CO18-3007 24.08.2020-13.12.2020 5 credits (ICT17-N) + -
Learning outcomes of the course

The student is familiar with general aspects of information security:
Risk assessment and security management, Security mechanisms, User authentication and access control, Security algorithms, protocols and standards

Course contents

Definition of information security and information security process. Security requirements, risk analysis and information protection mechanisms. Risk assesment. Introduction to cryptography; symmetric and asymmetric encryption. Certificates and digital signatures. Building up secure information systems.

Assessment criteria

Satisfactory

The student knows the basic concepts of information security. He/she also knows elementary threats to information systems. He/she knows why encryption and digital signature are needed.

Good

The student knows how threats can be reduced using different security mechanisms.

Excellent

The student knows the principles of risk analysis. He/she knows also how encryption mechanisms work and how digital signature is implemented. He/she understands how simple authentication protocols work.

Mode of delivery

Distance learning

Language of instruction

English

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- ICT17-N
Seats

0 - 50

Teacher(s)

Erik Pätynen

Unit, in charge

School of ICT

Degree Programme

Degree Programme in Information Technology, Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

0-5
IT Service Management TT00CC68-3008 01.01.2021-31.12.2021 6 credits (ATX21TV) + -
Learning outcomes of the course

After the course, the student:
- Understands the negotiation situation in ICT services business;
- Is able to develop service processes according to the industry standards.

Course contents

After the course, the student:
- Understands the negotiation situation in ICT services business;
- Is able to develop service processes according to the industry standards.

Mode of delivery

Distance learning

Recommended or required reading

Can be find via Study environment.

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 - 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=153
• Course enrolment key: service
• Password for the course final exam: Management

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

6 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Can be find via 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.
IT Services - Sales and Marketing TT00EJ10-3002 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.

Course contents

Having studied this course the student understands the importance of customer-oriented sales and marketing and understands the basic marketing terminology of the course. The course includes in the customer-oriented marketing process and its phases. Additionally, course includes the role of IS Services marketing as the focal process of business, the marketing environment and its analysis, and the planning and execution of marketing activities.

Student participating in the course should comprehend
- The relevance of customer focused marketing
- The basic terminology of sales and marketing
- be able to apply the ideas and concepts to real-life situation

Name of lecturer(s)

Janne Salonen

Mode of delivery

Distance learning

Recommended or required reading

Material is online.

Planned learning activities and teaching methods

Course is 100% online - SelfStudy course.

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 31.12.2021
- 5 credits
Group(s)
- ATX21TV
Seats

0 - 500

Teacher(s)

Virve Prami

Further information for students

ILMOITTAUTUMINEN

- Kurssi löytyy osoitteesta: https://moodle.metropolia.fi/course/view.php?id=154
- Kurssiavain: marketing
- Kokeen salasana: Quality (not translated)

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Exam can be done whenever is it suitable for student.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

N/A

Location and Time

Up to student her-/himself.
Identity with Windows Server 2016, 70-742 TT00DU89-3002 01.01.2021-31.12.2021 6 credits (ATX21TV) + -
Learning outcomes of the course

This course provides the fundamental networking skills required to deploy and support Windows Server 2016 in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking.

Course contents

This course is primarily intended for existing IT professionals who have some AD DS knowledge and experience and who aim to develop knowledge about identity and access technologies in Windows Server 2016. This would typically include:

AD DS administrators who are looking to train in identity and access technologies with Windows Server 2012 or Windows Server 2016.

System or infrastructure administrators with general AD DS experience and knowledge who are looking to cross-train in core and advanced identity and access technologies in Windows Server 2012 or Windows Server 2016.

The secondary audience for this course includes IT professionals who are looking to consolidate their knowledge about AD DS and related technologies, in addition to IT professionals who want to prepare for the 70-742 exam.

Further information

Only for Open UAS Students.

Mode of delivery

Distance learning

Recommended or required reading

Online.

Planned learning activities and teaching methods

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

Course includes three parts:
- Theory
- Two practice tests
- Labs
- Final test

Assessment methods and criteria

- Theory
- Practice tests
- Labs
- Final test

Language of instruction

English

Timing

01.01.2021 - 31.12.2021
- 6 credits
Group(s)
- ATX21TV
Seats

0 - 1000

Teacher(s)

Tapio Wikström

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

Course is 100% online (Self-Study) course. So, study place and timetable is totally up to student her-/himself.
Innovation Project XX00BH18-3356 24.08.2020-13.12.2020 10 credits (TVT17-O) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 10 credits
Group(s)
- TVT17-O
Seats

0 - 40

Teacher(s)

Juha Kämäri, Matti Oosi, Auvo Häkkinen, Ilpo Kuivanen, Simo Silander, Jorma Räty, Vesa Ollikainen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Myllypurontie 1

Evaluation scale

0-5
Innovation Project XX00BH18-3358 24.08.2020-13.12.2020 10 credits (TVT17-M) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 24.08.2020
- 10 credits
Group(s)
- TVT17-M
Seats

0 - 40

Teacher(s)

Hannu Markkanen, Nina Hellman

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Innovation Project XX00BH18-3359 24.08.2020-13.12.2020 10 credits (ICT17-M) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Distance learning

Language of instruction

English

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 24.08.2020
- 10 credits
Group(s)
- ICT17-M
Seats

0 - 40

Teacher(s)

Petri Vesikivi

Unit, in charge

School of ICT

Degree Programme

Degree Programme in Information Technology, Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

10 credits

Evaluation scale

0-5
Innovation Project XX00BH18-3360 24.08.2020-13.12.2020 10 credits (TVT17-PE) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 10 credits
Group(s)
- TVT17-PE
Seats

0 - 40

Teacher(s)

Miikka Mäki-Uuro, Kari Aaltonen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Leiritie 1

Evaluation scale

0-5
Innovation Project XX00BH18-3361 24.08.2020-13.12.2020 10 credits (ICT18-N) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Distance learning

Language of instruction

English

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 10 credits
Group(s)
- ICT18-N
Seats

0 - 40

Teacher(s)

Tapio Wikström, Marko Uusitalo

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology, Degree Programme in Information Technology

Unit location

Karaportti 2

Virtual proportion

10 credits

Evaluation scale

0-5
Innovation Project XX00BH18-3362 24.08.2020-13.12.2020 10 credits (ICT17-S) + -
Learning outcomes of the course

On completion of the course the student can
- Develop practical, creative and innovative solutions, practices and services with multidisciplinary partners to meet the diverse needs in the Helsinki Metropolitan area.
The student participates in project or network-based work and applies his or her expertise in regional, national or international development work.
- Use his or her personal skills and abilities to work and collaborate in multidisciplinary teams.
- Create a culture of cooperation and negotiation with the team members and other actors.
- Use his or her skills in problem solving, collaboration and communication to support the social development and joint decision making of the team.

Course contents

Project and innovation work: brainstorming, planning, implementing, assessing, communicating, publishing, product development and marketing.
Cooperative skills, interest group activities and networking.
Innovative work methods.
Areas of communal development skills: development processes, coordinating and managing development, reforming the development concepts.

Assessment criteria

Satisfactory

The student knows the principles of project and network-based work.
The student recognizes his/her own project- and network-based work competences.
The student uses co-operation and communication skills in cooperative development processes and decision making.
The student can develop together with the other actors solutions and modes of operation to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Good

The student uses the principles of project and network-based work in regional, national or international development oriented work.
The student uses his or her co-operation and communication skills well in cooperative development processes and decision making.
The student helps to set-up a cooperative negotiation culture with other actors in the field. The student uses his/her personal skills and abilities to contribute to the work of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Excellent

The student's ability to use principles of project and network-based work in regional, national or international development oriented work is on a high level.
The student is able to analyse and develop his/her co-operation and communication skills in cooperative development processes and decision making.
The student understands cooperative negotiation culture and helps to build it with the other actors.
The student is able to analyse and develop his/her professional competence and put it in the service of a multidisciplinary team.
The student develops together with the other actors practical, creative and innovative solutions, modes of operation or services to meet the multi-faceted needs of the residents of the Helsinki metropolitan area.

Further information

Assessment is focused on the work carried out during the course, the gained knowledge upon the completion of the course, meeting the course goals and creating innovative solutions.

Mode of delivery

Distance learning

Language of instruction

English

Timing

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 10 credits
Group(s)
- ICT17-S
Seats

0 - 41

Teacher(s)

Antti Piironen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology, Degree Programme in Information Technology

Unit location

Karaportti 2

Virtual proportion

10 credits

Evaluation scale

0-5
Intelligent Environments and Applications TX00CG22-3008 24.08.2020-11.10.2020 5 credits (TVT19-H) + -
Learning outcomes of the course

After completing the course, the student knows products and applications related to intelligent environment and physiological measurements, recognizes measurement application business environment, understands wireless communication principles, and applies learned knowledge.

Course contents

• Measurement applications and business environment
• Products, services and applications related to measurements
• Intelligent living environment measurements
• Wireless communication
• Wireless sensors and sensor networks

Assessment criteria

Satisfactory

Student has basic knowledge of products and applications related to intelligent environment and physiological measurements, understands basics of wireless communication principles, and uses learned knowledge.

Good

Student knows products, applications and business related to intelligent environment and physiological measurements, understands wireless communication principles, and applies learned knowledge.

Excellent

Student thoroughly knows products, applications and business related to intelligent environment and physiological measurements, has high-level understanding of wireless communication principles, and applies learned knowledge in advanced manner.

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

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)

Matti Fischer, Mikael Soini

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Myllypurontie 1

Evaluation scale

0-5
Intercultural Competence TX00EL45-3001 17.08.2020-21.08.2020 3 credits (ICTSUMMER) + -
Learning outcomes of the course

The search for cheaper and faster way to develop software leads many organizations to look for manpower in remote places so as among new social sectors. Global Software Development (GSD) has become with the years a common way of working. It means that multi-cultural teams are becoming more and more widespread.
The understanding how to work together with colleagues from various cultures and different social sub-groups became a prominent condition to create a successful team and effective working results. Intercultural competence is no longer a course taught only in the psychology, sociology and education departments but also in the ICT, Engineering and Biotechnology departments, as a result of the globalized and international working environment.

Prerequisites and co-requisites

Good English language skills

Course contents

Culture and various parameters for differentiation
Cultural layers
Cultural shock theory
Non verbal communication
Cultural competence
Advantage and disadvantage in multiculturalism
Intercultural competence as an interdisciplinary topic
Intercultural training

Mode of delivery

Distance learning

Language of instruction

English

Timing

17.08.2020 - 21.08.2020

Enrollment date

04.05.2020 - 14.08.2020
- 3 credits
Group(s)
- ICTSUMMER
Seats

0 - 40

Teacher(s)

Keren-Miriam Adam

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
Internet of Things TX00CI63-3005 19.10.2020-13.12.2020 5 credits (ICT18-S) + -
Learning outcomes of the course

Student can define the core concepts of internet of things (IoT) and the differencies between traditional sensor networks and IoT. She/he is able to design, implement and manage an embedded internet system and understands the core concepts and functionality of cloud services, embedded systems and system management using cloud services.
Additionally she/he understands the new business models related to IoT.

Course contents

- Concepts of embedded internet, internet of things and internet of everything
- Concept of Big Data
- Privacy, security and internet of things
- IoT applications and business opportunities
- Embedded system and cloud services

Assessment criteria

Satisfactory

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

Good

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

Excellent

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

Mode of delivery

Face-to-face

Recommended or required reading

Lecture Slides

Planned learning activities and teaching methods

Lectures
Exercises
Quizzes
Collaboration
Classroom Discussion
Final Report

Assessment methods and criteria

Evaluation will be based on:

- Activity during contact lessons 10%
- Quizzes 20%
- Group work and Report 70%

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)

Joseph Hotchkiss

Further information for students

Upon completion of the course the student should be familiar with concepts and terms related to IoT, understand the the challenges and benefits that come alone with internet connected devices, and be aware of the need for security in IoT.

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

Completion alternatives

Internet of Things Buyya, Rajkumar; Vahid Dastjerdi, Amir
Morgan Kaufmann 2016

ISBN:
0-12-805395-X
0-12-809347-1

Students use of time and load

35 hours of contact teaching
80 hours of self study and indepenant work
Internet of Things (IoT) Project TX00CI65-3006 19.10.2020-13.12.2020 5 credits (ICT18-S) + -
Learning outcomes of the course

The course provides knowledge on Internet of Things applications. On completion of the course students will know the principles of IoT. Students are able to develop applications using machine to machine communications like building automation systems.

Course contents

- Embedded computing devices in the existing Internet infrastructure
- Machine to machine (M2M) communications, control and measurement

Assessment criteria

Satisfactory

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

Good

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

Excellent

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

Mode of delivery

Face-to-face

Recommended or required reading

Source materials gathered by the student

Planned learning activities and teaching methods

Project led learning

Assessment methods and criteria

Group Work and presence in sessions 20%
Project 30%
Report 30%
Demonstration 20%

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)

Joseph Hotchkiss

Further information for students

Students will be required to specify, design, implement, test, debug, demonstrate a working Iot device upon completion of this course. Additionally the students will be required to produce a full technical documentaton of their device.

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

Students use of time and load

127 hrs of project work
Internetworks TX00CD35-3012 19.10.2020-13.12.2020 5 credits (ICT19-SI1) + -
Learning outcomes of the course

After completing the course the student knows the basics of router management using console connection, configuration and showing the status of the router. Concerning the routed networks, the student knows the basics of RIP, OSPF and EIGRP routing protocols, testing IP-connectivity and troubleshooting. After completing the course the student can design and build small routed networks. The student can connect a local area network into a larger network, configure needed IP and routing parameters.

Prerequisites and co-requisites

Local Area Networks

Course contents

Routers, basic configuration, static and dynamic routing, default route, routing protocols, testing IP-connectivity, troubleshooting routing, startup sequence of a router, interior gateway protocols, routing loops and elimination of routing loops.

Assessment criteria

Satisfactory

Understands the basic features and arrangements of routing

Good

Can configure static and dynamic routing and subnetting.

Excellent

Can design and implement small routed IP-networks. Can implement a hierarchical addressing scheme.

Mode of delivery

Face-to-face

Language of instruction

English

Timing

19.10.2020 - 13.12.2020

Enrollment date

21.06.2020 - 02.08.2020
- 5 credits
Group(s)
- ICT19-SI1
Seats

0 - 40

Teacher(s)

Saana Vallius

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
Internetworks TX00CD35-3013 19.10.2020-13.12.2020 5 credits (ICT19-SI2) + -
Learning outcomes of the course

After completing the course the student knows the basics of router management using console connection, configuration and showing the status of the router. Concerning the routed networks, the student knows the basics of RIP, OSPF and EIGRP routing protocols, testing IP-connectivity and troubleshooting. After completing the course the student can design and build small routed networks. The student can connect a local area network into a larger network, configure needed IP and routing parameters.

Prerequisites and co-requisites

Local Area Networks

Course contents

Routers, basic configuration, static and dynamic routing, default route, routing protocols, testing IP-connectivity, troubleshooting routing, startup sequence of a router, interior gateway protocols, routing loops and elimination of routing loops.

Assessment criteria

Satisfactory

Understands the basic features and arrangements of routing

Good

Can configure static and dynamic routing and subnetting.

Excellent

Can design and implement small routed IP-networks. Can implement a hierarchical addressing scheme.

Mode of delivery

Face-to-face

Language of instruction

English

Timing

19.10.2020 - 13.12.2020

Enrollment date

21.06.2020 - 02.08.2020
- 5 credits
Group(s)
- ICT19-SI2
Seats

0 - 40

Teacher(s)

Saana Vallius

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
Introduction to ASP .NET Web Forms TT00CK71-3007 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

The goal of this course is for the student to be familiar with ASP .NET Web Forms as one of the most powerful server-side Web application framework. After passing this course, the student will have sufficient knowledge and understanding over characteristics, abilities, and features of ASP .NET and .NET Framework. The students will be able to create a whole new project by himself/herself and work with all the major ASP .NET server controls. To finalize the getting best out of ASP .NET features, the students will be familiar with user controls, state management, master pages. Finally, by understanding the difference between dynamic and static applications and websites, the students will be able to have the knowledge of creating dynamic applications and websites.

Prerequisites and co-requisites

N/A

Course contents

Descriptions and comparison of dynamic web programming frameworks – The importance of dynamic applications – Active Server Pages history – How .NET Framework works – Compatible programming languages with ASP .NET – Server Controls - Namespaces – Introduction to Visual Studio – Error Handling, Logging, and Tracing – State Management – Validation – Master pages, Styles, and Themes – Website Navigation – ASP .NET Default Folders - Performance tips - Security tips.

Assessment criteria

Satisfactory

- The student understands why we need dynamic applications in some projects.
- The student is familiar with the most popular ASP .NET features.
- The student is familiar with the most popular ASP .NET server controls.
- The student can properly select a programming language based on his/her knowledge to work with ASP .NET.
- The student is able to properly install and implement .NET Framework to run his/her ASP .NET applications.
- The student is familiar with the environment of MS Visual Studio.
- The student is familiar with the default folders of ASP .NET.

Good

- The student is able to create, manage, and work with ASP .NET server controls.
- The student is able to understand and work with namespaces.
- The student understands the process of validation and is able to use it with server controls.
- The student is able to simplify his/her project’s file with using master pages.

Excellent

- The student is able to apply Error Handling, Logging, and Tracing in his/her applications.
- The student is able to use State Management.
- The student is able to apply performance and security tips for his/her applications.

Further information

N/A

Mode of delivery

Distance learning

Recommended or required reading

Can be find in study environment.

Planned learning activities and teaching methods

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

Assessment methods and criteria

Assignments 40%
Quiz 20%
Project 40%

Language of instruction

English

Timing

01.01.2021 - 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

Can be find on study environment.

International connections

N/A

Students use of time and load

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

Content periodicity

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

Location and Time

Up to Student - course is online (Self-Study) course.
Introduction to C# programming TT00EM32-3001 01.08.2020-31.12.2020 3 credits (ATX20TVS) + -
Learning outcomes of the course

1. Introduction
2. .NET Framework and Visual Studio Community
3. Writing C# programs
4. Variables, datatypes and operators
5. Conditional statements
6. Loops
7. Lists and arrays
8. Using files
9. Object-oriented programming

Course contents

1. Introduction
2. .NET Framework and Visual Studio Community
3. Writing C# programs
4. Variables, datatypes and operators
5. Conditional statements
6. Loops
7. Lists and arrays
8. Using files
9. Object-oriented programming

Further information

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

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

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.
Introduction to C# programming TT00EM32-3002 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
Learning outcomes of the course

1. Introduction
2. .NET Framework and Visual Studio Community
3. Writing C# programs
4. Variables, datatypes and operators
5. Conditional statements
6. Loops
7. Lists and arrays
8. Using files
9. Object-oriented programming

Course contents

1. Introduction
2. .NET Framework and Visual Studio Community
3. Writing C# programs
4. Variables, datatypes and operators
5. Conditional statements
6. Loops
7. Lists and arrays
8. Using files
9. Object-oriented programming

Further information

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

01.01.2021 - 31.07.2021

Enrollment date

02.07.2020 - 02.07.2020
- 3 credits
Group(s)
- ATX21TVK
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

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.
Introduction to Cloud Computing Services and Fundamentals of Microsoft Azure TT00DT62-3003 01.01.2021-31.12.2021 8 credits (ATX21TV) + -
Learning outcomes of the course

A comprehensive course to learn cloud services concepts such as High Availability, Scalability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery. Understand the benefits of cloud computing in Azure and how it can save you time and money. Compare and contrast basic strategies for transitioning to the Azure cloud. Explore the breadth of services available in Azure including compute, network, storage, and security.
This course is 100% virtual thanks to the comprehensive content made for this course.
The student will pass this course after submitting required assignments, quizzes, project, and essay

Course contents

Principles of Cloud Computing - Service Models - Cloud Computing Services - Cloud Computing Services Tasks - Introduction to Azure - Azure architecture and service guarantees - Create an Azure account - Manage services with the Azure portal - Azure compute options - Azure data storage options - Azure networking options - Security, responsibility and trust in Azure
Apply and monitor infrastructure standards - Control and organize Azure resources - Predict costs and optimize spending for Azure

Assessment criteria

Satisfactory

The students understand the concept of Cloud Services.
- The student has a general understanding over the advantageous of cloud services and can briefly explain them

Good

- The student has a hand on experience related to the benefits and features of Microsoft Azure Cloud Computing Services

Excellent

- The student can fully demonstrate the major services of Microsoft Azure Cloud Services and can use them in details.

Mode of delivery

Distance learning

Recommended or required reading

Lecture slides, tutorial videos, assignments

Planned learning activities and teaching methods

This course is 100% virtual thanks to the comprehensive content made for this course.
Course includes:
- Tutorial Videos
- Assignments
- Quizzes
- Project
- Essay

Assessment methods and criteria

Assignments 40%
Quiz 20%
Project 40%

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 fee 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 on study environment.

International connections

N/A

Students use of time and load

Content = 70h
Assignments = 35h
Self-study and research = 50h
Quizzes = 5h
Project = 25h
Essay = 15h
Total = 200 hours

Content periodicity

Up to Student her-/himself.

Location and Time

This course is 100% virtual thanks to the comprehensive content made for this course.
Introduction to Computing TT00CC63-3008 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

After completing the course, the student is able to understand the main principles of information technology, including the basic concepts of computer science. The student is able to fluently use personal computers in university studies, and masters the main PC application software. The student is capable of working in complex network environments, and understands information security requirements. The student has basic knowledge of publishing in networks. The student has the ability to apply knowledge and strategies to enhance information technology-related skills.

Prerequisites and co-requisites

No pre-requisite requirements.

Course contents

ICT hardware and local area network in the study environment.
Basic concepts of information technology and computer science.
Introduction to main PC applications: word processing and document, standards, spreadsheets, presentations, graphics.
Internet as information source and communication medium (digital portfolio).
The aim of the course is to practise Compia A+ 220-801 and Comptia A+ 220-802 certificates, which you can do in our Testing Center.

Assessment criteria

Satisfactory

The student is able to use fluently personal computers in university studies, and understands information security requirements.
The student masters communication in the net.
The student is able to create documents that follow common standards.
The student masters the main PC application software in ordinary tasks.
The student can create a small website using a markup language.

Good

Additionally:
The student knows the basic concepts and measurement units of computer science and computer technology.
The student has an ability to apply knowledge and strategies to process information and data, and to present it in different formats.
The student is able to enhance information technology related skills, especially learning to use end-user software.

Excellent

Additionally:
The student masters the main concepts and measurement units of computer science and computer technology.
The student works effortlessly in complex network environments, and masters application software.

Further information

Virtual course
The aim of the course is to practise Compia A+ 220-801 and Comptia A+ 220-802 certificates, which you can do in our Testing Center.

Mode of delivery

Distance learning

Recommended or required reading

Can be find in study environment.

Planned learning activities and teaching methods

100% Online Self-study course.

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 - 31.12.2021
- 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 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.
Introduction to Data Mining TX00EL41-3001 03.08.2020-07.08.2020 3 credits (ICTSUMMER) + -
Learning outcomes of the course

Knowledge and understanding:
The students will know some basic concepts and some algorithms of data mining. They will understand what data exploration means, the difference between supervised and unsupervised learning and will become familiar with algorithms such as K-means clustering, decision trees, naïve Bayes and (feed forward) neural networks. Further, they will know how to evaluate the models produced by those algorithms. They will be able to run and evaluate those algorithms with the tool RapidMiner.

Skills:
The students are able to understand basic machine learning algorithms especially k-means clustering, decision trees, naïve Bayes and (feed forward) neural networks and make use of the tool RapidMiner to run and evaluate these algorithms on datasets.

Prerequisites and co-requisites

Basic mathematics, for example, linear algebra, vectors, probabilities and so on.

Course contents

- Data, data exploration and data visualization.
- Supervised and unsupervised algorithms.
- Distance, K-means clustering, properties and limits.
- Decision trees, Gini-index and entropy.
- Confusion matrix, accuracy, precision, recall, ROC curves.
- Naïve Bayes.
- Formal neuron, multi-layer perceptron network and feed-forward neural network.
- Back-propagation algorithm.

Mode of delivery

Distance learning

Language of instruction

English

Timing

03.08.2020 - 07.08.2020

Enrollment date

04.05.2020 - 27.07.2020
- 3 credits
Group(s)
- ICTSUMMER
Seats

0 - 40

Teacher(s)

Agathe Merceron

Further information for students

Bring your own laptop.

Unit, in charge

School of ICT

Degree Programme

Degree Programme in Information Technology, Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

0-5
Introduction to Entrepreneurship XX00AA26-3027 01.01.2021-31.12.2021 3 credits (ATX21TV) + -
Learning outcomes of the course

The student will understand the importance of entrepreneurship for society and he or she will understand also the effect of his or her own input in an enterprise. The student will know the different forms of business. The student will understand the principles of the profitability of business.

Prerequisites and co-requisites

Basics of calculation, management and marketing.

Course contents

- The concept of entrepreneurship
- Establishing a business
- Forms of business
- Principles of financing
- Business plan
- Principles of the bookkeeping and the financial statements
- Principles of corporate analysis

Assessment criteria

Satisfactory

The student understands the key principles of a profitable business.

Good

The student can use and adapt the key principles of a profitable business.

Excellent

The student understands the key principles of a profitable business in different company types. The student shows his/her responsibility in his/her studies during the whole course.

Mode of delivery

Distance learning

Recommended or required reading

Online in Metropolia's Moodle

Planned learning activities and teaching methods

Online (Self-Study) course.

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 31.12.2021
- 3 credits
Group(s)
- ATX21TV
Seats

0 - 3000

Teacher(s)

Virve Prami

Further information for students

ENROLLING

Metropolia's Degree Student:
• Go to: https://moodle.metropolia.fi/course/view.php?id=157
• Course enrolment key: poro
• Password for the course final exam: Technology

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

N/A

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Student her-/himself.

Location and Time

Online in Metropolia's Moodle
Introduction to Japanese Culture TX00EM03-3001 17.08.2020-21.08.2020 3 credits (ICTSUMMER) + -
Learning outcomes of the course

In this course, the participants will be given opportunities to experience some aspects of Japanese culture in the modern era, through watching animated movies. For this purpose, selected movies namely The Wind Rises(2013), Your Name(2016) and In this Corner of The World(2019) will be shown in the class sessions.

The focus will be on a selected animated movie, The Wind Rises (2013), a masterpiece by Hayao Miyazaki as participants’ course project is based on the movie. In the class, the participants will be asked to form groups consist of 3 or 4 members chosen randomly, and work collaboratively toward a presentation on the last day. Any topic for the group project may be accepted as long as it is derived from the content of the movie. Upon completion of the course, the participants will be able to acquire new knowledge of Japanese culture described in the story between the 1920s to 1940s. Also, the participants will have an opportunity to meet new people with a diversity of cultures and work together online.

Prerequisites and co-requisites

None

Course contents

Some of the topics to discuss in the class:
-Historical and cultural background in the story between the 1920s to 1940s
-Wars and development of technology
-Male and Female relations described in the story
-Japanese customs described in the movie, such as greetings, dietary life and
marriage practices
-Western literature, paintings and musical works found in the movie

Mode of delivery

Distance learning

Language of instruction

English

Timing

17.08.2020 - 21.08.2020

Enrollment date

12.06.2020 - 29.07.2020
- 3 credits
Group(s)
- ICTSUMMER
Seats

0 - 20

Teacher(s)

Takeda Tsunemi

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
Introduction to Java Programming TT00CB03-3008 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
Learning outcomes of the course

Understanding basics of java programming

Course contents

First part of the course deals with basics of Java programming and the second part introduces students to concepts of object-oriented programming.
- algorithms
- variables in Java
- programming statements, expressions and operators
- if-statement
- loop structures in Java
- metods
- numerical arrays
- basics of object-oriented programming
- more about objects
The course includes programming exercises and multi-choice questions.

Further information

Online course

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

100% online (Self-Study) course.

Assessment methods and criteria

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

Language of instruction

English

Timing

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
Seats

0 - 5000

Teacher(s)

Mika Hyyryläinen

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Up to Student her-/himself.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Student her-/himself.

Location and Time

Up to Student her-/himself.
Introduction to Java Programming TT00CB03-3009 01.08.2020-31.12.2020 3 credits (ATX20TVS) + -
Learning outcomes of the course

Understanding basics of java programming

Course contents

First part of the course deals with basics of Java programming and the second part introduces students to concepts of object-oriented programming.
- algorithms
- variables in Java
- programming statements, expressions and operators
- if-statement
- loop structures in Java
- metods
- numerical arrays
- basics of object-oriented programming
- more about objects
The course includes programming exercises and multi-choice questions.

Further information

Online course

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

100% online (Self-Study) course.

Assessment methods and criteria

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

Language of instruction

English

Timing

01.08.2020 - 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

100% online (Self-Study) course.
Introduction to Java Programming TT00CB03-3010 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
Learning outcomes of the course

Understanding basics of java programming

Course contents

First part of the course deals with basics of Java programming and the second part introduces students to concepts of object-oriented programming.
- algorithms
- variables in Java
- programming statements, expressions and operators
- if-statement
- loop structures in Java
- metods
- numerical arrays
- basics of object-oriented programming
- more about objects
The course includes programming exercises and multi-choice questions.

Further information

Online course

Mode of delivery

Distance learning

Recommended or required reading

N/A

Planned learning activities and teaching methods

100% online (Self-Study) course.

Assessment methods and criteria

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

Language of instruction

English

Timing

01.01.2021 - 31.07.2021

Enrollment date

02.05.2019 - 31.05.2019
- 3 credits
Group(s)
- ATX21TVK
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

100% online (Self-Study) course.
Introduction to JavaScript TT00DV43-3002 01.01.2021-31.07.2021 5 credits (ATX21TVK) + -
Learning outcomes of the course

After completing the course, the student is able to write simple code with JavaScript, and he/she will gain a knowledge which is a good start to further improve his/her skill level by doing more exercises & practise afterwards

Prerequisites and co-requisites

N/A

Course contents

- Values, Types, and Operators
- Program Structure
- Functions
- Data Structures: Objects and Arrays
- Higher-order Functions
- Objects
- Bugs and Errors
- Regular Expressions
- Modules
- Asynchronous Programming

Name of lecturer(s)

Janne Salonen

Mode of delivery

Distance learning

Recommended or required reading

Can be find on study environment.

Planned learning activities and teaching methods

100% online (Self-Study) course.

Assessment methods and criteria

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

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 31.07.2021
- 5 credits
Group(s)
- ATX21TVK
Seats

0 - 1000

Teacher(s)

Janne Salonen, Mika Hyyryläinen

Further information for students

ENROLLING
Open UAS and CampusOnline Student: Please fill in eform

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

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Can be find on study environment.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Student her-/himself.

Location and Time

Because course is 100% online (Self-Study) course, study place and timetable is up to Student her-/himself.
Introduction to JavaScript TT00DV43-3003 01.08.2020-31.12.2020 5 credits (ATX20TVS) + -
Learning outcomes of the course

After completing the course, the student is able to write simple code with JavaScript, and he/she will gain a knowledge which is a good start to further improve his/her skill level by doing more exercises & practise afterwards

Prerequisites and co-requisites

N/A

Course contents

- Values, Types, and Operators
- Program Structure
- Functions
- Data Structures: Objects and Arrays
- Higher-order Functions
- Objects
- Bugs and Errors
- Regular Expressions
- Modules
- Asynchronous Programming

Mode of delivery

Distance learning

Recommended or required reading

It's on to study environment.

Planned learning activities and teaching methods

Onlinen (Self-Study) course.

Language of instruction

Tuition in Finnish

Timing

01.08.2020 - 31.12.2020

Enrollment date

02.08.2019 - 02.08.2019
- 5 credits
Group(s)
- ATX20TVS
Seats

0 - 1000

Teacher(s)

Mika Hyyryläinen

Further information for students

Course material is Finnish.

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

5 credits

Evaluation scale

0-5

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Up to Student her-/himself.

International connections

N/A

Students use of time and load

Up to student her-/himself.

Content periodicity

Up to student him-/herself.

Location and Time

Up to Student her-/himself.
Introduction to Kotlin TT00EM36-3001 01.08.2020-31.12.2020 3 credits (ATX20TVS) + -
Learning outcomes of the course

1. Introduction
2. The First Kotlin Program
3. Data Types & Variables & Operators
4. Arrays
5. Conditional Statement
6. Loops u
7. Functions
8. Debugging
9. Classes
10. Collections
11. Error Handling
12. File Handling

Course contents

1. Introduction
2. The First Kotlin Program
3. Data Types & Variables & Operators
4. Arrays
5. Conditional Statement
6. Loops u
7. Functions
8. Debugging
9. Classes
10. Collections
11. Error Handling
12. File Handling

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

English

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.
Introduction to Kotlin TT00EM36-3002 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
Learning outcomes of the course

1. Introduction
2. The First Kotlin Program
3. Data Types & Variables & Operators
4. Arrays
5. Conditional Statement
6. Loops u
7. Functions
8. Debugging
9. Classes
10. Collections
11. Error Handling
12. File Handling

Course contents

1. Introduction
2. The First Kotlin Program
3. Data Types & Variables & Operators
4. Arrays
5. Conditional Statement
6. Loops u
7. Functions
8. Debugging
9. Classes
10. Collections
11. Error Handling
12. File Handling

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

English

Timing

01.01.2021 - 31.07.2021

Enrollment date

02.07.2020 - 02.07.2020
- 3 credits
Group(s)
- ATX21TVK
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.
Introduction to Machine Learning TX00DB91-3004 10.08.2020-14.08.2020 3 credits (ICTSUMMER) + -
Learning outcomes of the course

Knowledge and understanding
The students will know some basic concept and some algorithms of machine learning for
regression and classification and they will understand how to implement them on MATLAB.
They also will know an artificial neural network model for handwritten character recognition
and they will be able to implement both the neural network learning and recognition
algorithm on MATLAB.

Skills
The students are able to understand basic machine learning algorithms especially artificial
neural networks and make use of MATLAB programs for implementation of the algorithms.

Prerequisites and co-requisites

Basic mathematics, for example, linear algebra, vector and matrix operations, linear
combination, basic multivariate calculus, and so on. It is preferable to have a basic
programing skill and to be able to use basic data structures and algorithms.

Course contents

Core content level
Introduction to MATLAB for implementation of machine learning algorithm.
Linear regression and least squares method.
Introduction to artificial neural networks.
Formal neuron and perceptron.
Linear regression using a single-layer perceptron network.
Multi-layer perceptron network and feed-forward network functions.
Neural network learning based on back-propagation algorithms.
Handwritten character recognition using neural network algorithms.
Additional content
Recognition of some characters written by the students using the neural network model.

Assessment criteria

Satisfactory

Daily exercises assigned on the course are worth 50% and both a report and products (i.e.
program source code, sample dataset, experimental results, and so on) about handwritten
character recognition are worth 50%.

Name of lecturer(s)

Akihiro Yamashita

Mode of delivery

Distance learning

Language of instruction

English

Timing

10.08.2020 - 14.08.2020

Enrollment date

04.05.2020 - 28.07.2020
- 3 credits
Group(s)
- ICTSUMMER
Seats

0 - 40

Teacher(s)

Akihiro Yamashita, Hiroyuki Aoki

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
Introduction to Programming (C++) TT00VI08-3009 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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)
- knows how to select designs which help re-using the code

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

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
Seats

0 - 1000

Teacher(s)

Mika Hyyryläinen

Further information for students

ILMOITTAUTUMINEN

- Avoimen AMK:n sekä CampusOnline opiskelijat: e-lomake

- Metropolian tutkinto-opiskelijat: https://vw4.viope.com/login?org=metropolia. Rekisteröidy klikkaamalla sisäänkirjautumisikkunan vasemmasta laidasta Ilmoittaudu kurssille (Enroll on the Course). Valitse jokin Viope-kurssi, jonka lopussa lukee tämä 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.
Introduction to Programming (C++) TT00VI08-3010 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)
- knows how to select designs which help re-using the code

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

01.05.2019 - 30.05.2019
- 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.
Introduction to Programming (Java) TT00VI07-3010 01.01.2021-31.07.2021 3 credits (ATX21TVK) + -
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: variables, constants, types, expressions, arrays, control structures, input and output, sub programs and parameters.

Assessment criteria

Satisfactory

Algorithms and control structures
- The student understands the meanings of different control structures and can choose an appropriate structure to a given problem.
- The student is able to explain the control flow of a simple program.
- The student knows how to program each control structure.
- The student is able to write a program which reads and writes data.

Variables, constants and types:
- The student understands the difference between the type and the value of the variable.
- The student knows how to declare variables.

Subprograms:
- The student understands the purpose, naming convention and calling mechanism of the subprograms.
- The student knows how to write a subprogram and invoke it.

Good

Algorithms and control structures:
- The student is able to design simple algorithms.
- The student knows how to combine different control structures in a program.
- The student is able to write interactive programs.
- The student knows how to find an element from an array using sequential lookup.

Variables, constants and types:
- The student is able to define and use one-dimensional arrays.

Subprograms:
- The student is able to define parameters for subprograms and use them.
- The student knows how to return results from subprograms.

Excellent

Algorithms and control structures:
- The student is able to make elegant solutions for given problems.
- The student is able to use arrays for diverse problems.

Variables, constants and types:
- The student is able to define and use two-dimensional arrays.

Subprograms:
- The student knows how to make tests for subprograms.
- The student knows the difference between value parameters and reference parameters including especially arrays and String variables.

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

01.01.2021 - 31.07.2021
- 3 credits
Group(s)
- ATX21TVK
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.
Introduction to Programming (Java) TT00VI07-3011 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: variables, constants, types, expressions, arrays, control structures, input and output, sub programs and parameters.

Assessment criteria

Satisfactory

Algorithms and control structures
- The student understands the meanings of different control structures and can choose an appropriate structure to a given problem.
- The student is able to explain the control flow of a simple program.
- The student knows how to program each control structure.
- The student is able to write a program which reads and writes data.

Variables, constants and types:
- The student understands the difference between the type and the value of the variable.
- The student knows how to declare variables.

Subprograms:
- The student understands the purpose, naming convention and calling mechanism of the subprograms.
- The student knows how to write a subprogram and invoke it.

Good

Algorithms and control structures:
- The student is able to design simple algorithms.
- The student knows how to combine different control structures in a program.
- The student is able to write interactive programs.
- The student knows how to find an element from an array using sequential lookup.

Variables, constants and types:
- The student is able to define and use one-dimensional arrays.

Subprograms:
- The student is able to define parameters for subprograms and use them.
- The student knows how to return results from subprograms.

Excellent

Algorithms and control structures:
- The student is able to make elegant solutions for given problems.
- The student is able to use arrays for diverse problems.

Variables, constants and types:
- The student is able to define and use two-dimensional arrays.

Subprograms:
- The student knows how to make tests for subprograms.
- The student knows the difference between value parameters and reference parameters including especially arrays and String variables.

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.
Introduction to RPA TT00EM38-3002 01.01.2021-31.12.2021 2 credits (ATX21TV) + -
Learning outcomes of the course

This introductory course to Robotic Process Automation (RPA) is intended to explain the basic concepts and methods of the subject.

Prerequisites and co-requisites

Elementary knowledge of programming.

Course contents

The course consists of three parts which can be executed in any order: The suggested order is however: Make/read at first the exercises, then the laboratory work, and finally the automatic nonstop exams including the test part of the laboratory work. The automation in the exams (multiple choice questions) made them quite different from the tutorials and exercises. That is why one of the exercises is in fact a laboratory work.

Further information

Course is 100% online (Self-Study) course and it belongs to Information and Communication Unit's NonStop virtual studies.

Name of lecturer(s)

Janne Salonen

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.

The course consists of three parts which can be executed in any order: The suggested order is however: Make/read at first the exercises, then the laboratory work, and finally the automatic nonstop exams including the test part of the laboratory work. The automation in the exams (multiple choice questions) made them quite different from the tutorials and exercises. That is why one of the exercises is in fact a laboratory work.

1) The 6 exercises (exam 1 to exam 6) are executed independently by the students themselves
following the written instructions in the exercise text. The type of all the exams are multiple choice questions.

2) The laboratory work teaches the student the basics to design his/her own Taskt robots. The test part of the Lab work is also a multiple choice question (exam 6).

3) In every exam there are one or more problems which try to resemble,
if possible, some topic area of the exercise.

Assessment methods and criteria

One fourth of the maximum points is needed for passing an exam/lab work. The exams can be taken at any time in the internet and retaken any number of times. The best result will be the final number of points for the exam/lab work in question. There are 6 different exams/lab works (1,2,3,4,5,6) and all of them must be passed separately to pass the course.

Language of instruction

English

Timing

01.01.2021 - 31.12.2021
- 2 credits
Group(s)
- ATX21TV
Seats

0 - 500

Teacher(s)

Virve Prami

Further information for students

Metropolia's Degree Student enrol to this course direct in Moodle

Go to: https://moodle.metropolia.fi/course/view.php?id=1529
Course key: rapaa

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

2 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

Up to Student her-/himself.
Introduction to RPA TT00EM38-3001 01.08.2020-31.12.2020 2 credits (ATX20TV) + -
Learning outcomes of the course

This introductory course to Robotic Process Automation (RPA) is intended to explain the basic concepts and methods of the subject.

Prerequisites and co-requisites

Elementary knowledge of programming.

Course contents

The course consists of three parts which can be executed in any order: The suggested order is however: Make/read at first the exercises, then the laboratory work, and finally the automatic nonstop exams including the test part of the laboratory work. The automation in the exams (multiple choice questions) made them quite different from the tutorials and exercises. That is why one of the exercises is in fact a laboratory work.

Further information

Course is 100% online (Self-Study) course and it belongs to Information and Communication Unit's NonStop virtual studies.

Name of lecturer(s)

Janne Salonen

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.

The course consists of three parts which can be executed in any order: The suggested order is however: Make/read at first the exercises, then the laboratory work, and finally the automatic nonstop exams including the test part of the laboratory work. The automation in the exams (multiple choice questions) made them quite different from the tutorials and exercises. That is why one of the exercises is in fact a laboratory work.

1) The 6 exercises (exam 1 to exam 6) are executed independently by the students themselves
following the written instructions in the exercise text. The type of all the exams are multiple choice questions.

2) The laboratory work teaches the student the basics to design his/her own Taskt robots. The test part of the Lab work is also a multiple choice question (exam 6).

3) In every exam there are one or more problems which try to resemble,
if possible, some topic area of the exercise.

Assessment methods and criteria

One fourth of the maximum points is needed for passing an exam/lab work. The exams can be taken at any time in the internet and retaken any number of times. The best result will be the final number of points for the exam/lab work in question. There are 6 different exams/lab works (1,2,3,4,5,6) and all of them must be passed separately to pass the course.

Language of instruction

English

Timing

01.08.2020 - 31.12.2020

Enrollment date

30.06.2020 - 30.06.2020
- 2 credits
Group(s)
- ATX20TV
Seats

0 - 500

Teacher(s)

Virve Prami

Further information for students

Metropolia's Degree Student enrol to this course direct in Moodle

Go to: https://moodle.metropolia.fi/course/view.php?id=1529
Course key: rapaa

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

2 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

Up to Student her-/himself.
Introduction to SQL Server TT00CK70-3007 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

The goal of this course is for the student to be familiar with Microsoft SQL Server as one of the most powerful relational database management systems. After passing this course, the student will be able to select a proper SQL Server regarding the technologies are being used in their projects, and will be able to work with Microsoft SQL Management Studio to manage a database, and to design a whole database with efficient tables and data types. And finally the student will be able to use most of the on-demand and practical features and abilities of MS SQL Server.
This course is 100% virtual thanks to the comprehensive tutorial videos made for this course, and the students of this course will receive a free voucher to participate in 461 Exam to obtain Microsoft MCSA Certification.
The student will pass this course after submitting required assignments and project.

Prerequisites and co-requisites

N/A

Course contents

Descriptions and comparison of SQL servers - Introduction to Microsoft SQL Server – MS SQL Server Services - MS SQL Server editions - Installing an instance of MS SQL Server - Introduction to MS SQL Management Studio - Creating a database - Creating and working with tables inside a database - Selecting proper data types - Understanding primary key, and foreign key - SELECT statement - INSERT statement - UPDATE statement - DELETE Statement – SQL Clauses, keywords, and operators - Stored Procedures - Functions - Indexes - Views - Triggers - Backup and restore - Users and roles - Reports - SQL performance tips - SQL security tips.

Assessment criteria

Satisfactory

- The student understands why we need databases in some projects.
- The student is familiar with the most popular SQL servers.
- The student can properly select the most efficient SQL server based on the technologies he/she is using in a project.
- The student is able to properly select the suitable edition of MS SQL server based on his/her project needs and is able to install it on his/her local computer/server.

Descriptions and comparison of SQL servers - Introduction to Microsoft SQL Server – MS SQL Server Services - MS SQL Server editions - Installing an instance of MS SQL Server - Introduction to MS SQL Management Studio - Creating a database - Creating and working with tables inside a database - Selecting proper data types - Understanding primary key, and foreign key - SELECT statement - INSERT statement - UPDATE statement - DELETE Statement – SQL Clauses, keywords, and operators - Stored Procedures - Functions - Indexes - Views - Triggers - Backup and restore - Users and roles - Reports - SQL performance tips - SQL security tips.
Further information
Evaluation criteria - satisfactory (1-2)
- The student understands why we need databases in some projects.
- The student is familiar with the most popular SQL servers.
- The student can properly select the most efficient SQL server based on the technologies he/she is using in a project.
- The student is able to properly select the suitable edition of MS SQL server based on his/her project needs and is able to install it on his/her local computer/server.
- The student is familiar with the environment of MS SQL Server Management Studio.
- The student is able to write simple queries on the tables.

Good

- The student is able to create a suitable diagram for his/her database.
- The student is able to understand and select efficient data types based on his/her needs
- The student understands the concepts of primary keys and foreign keys and may apply them for his/her tables.
- The student is able to write more complex queries on the tables.
- The student understands the concept of practical features of SQL Server.

Excellent

- The student is able to write sophisticated queries on the tables.
- The student is able to use stored procedures.
- The student is able to use indexes.
- The student is able to use triggers
- The student understands the concept of users and roles.
- The student is able to get reports from his/her database.

Further information

N/A

Mode of delivery

Distance learning

Recommended or required reading

Online.

Planned learning activities and teaching methods

- Tutorial Videos
- Assignments
- Quiz
- Project
- Self-study

Assessment methods and criteria

Assignments 40%
Quiz 20%
Project 40%

Language of instruction

English

Timing

01.01.2021 - 31.12.2021
- 5 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

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

Lectures = 30h
Labs = 30h
Assignments = 20h
Self-study = 23h
Quiz = 2h
Project = 5h
Total = 110 hours

Content periodicity

Up to Student her-/himself.

Location and Time

Up to Student her-/himself.
Introduction to Software Engineering TX00DT51-3002 17.08.2020-21.08.2020 3 credits (ICTSUMMER) + -
Learning outcomes of the course

This course provides an introduction to software engineering methods and techniques and their application in building software products. The objectives are: to teach to model software system by simulating problems of real subject field in logic model; to use sophisticated design tools; to prepare documentation and to prototype software product. Specifically, highlights the following study aims and competencies:
- to increase knowledge about software engineering methods and practices,
- to use tools of full software engineering development lifecycle, from initial requirements specification, design and development,
- to increase teamwork and virtual collaboration skills,
- to acquire software engineering project development competencies.

Prerequisites and co-requisites

Basics of object-oriented programming

Course contents

Session 1 The software engineering process:
- The system development life cycle and methodologies
- Software project management CASE tools
Session 2 Requirements analysis and specification:
- Requirements gathering methods
- Functional and nonfunctional requirements
Session 3 Development of software concept using UML:
- System funcionality design
- System structure design
- Data flow design
Session 4 Development of software concept using UML:
- Development of Relational Data Model
- GUI design
Session 5 Prototyping and documentation of software concept

Assessment criteria

Satisfactory

Daily exercises assigned on the course are worth 50% and both software project and prototype (i.e. software, app developed) about are worth 50%.

Further information

A computer with the following software is necessary: MS Visio, MS Visual Studio.
Slides, exercise handouts and design examples will be provided during sessions.

Name of lecturer(s)

Dalė Lukšaitė

Mode of delivery

Distance learning

Language of instruction

English

Timing

17.08.2020 - 21.08.2020

Enrollment date

04.05.2020 - 11.08.2020
- 3 credits
Group(s)
- ICTSUMMER
Seats

0 - 30

Teacher(s)

Dalė Lukšaitė

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
Introduction to Supply Chain Management XX00AB23-3011 01.01.2021-31.12.2021 3 credits (ATX21TV) + -
Learning outcomes of the course

The student will know the basic terms, methods and principles in supply chain management. The student will be able to apply the basic methods in practice.

Course contents

Basic terms in supply chain management, introduction to sourcing and inventory control methods, and basic metrics in supply chain management.

Assessment criteria

Satisfactory

Students identify some of the basic terms of demand-supply chain management and can apply some basic methods, such as the ABC analysis.

Good

Students master the basic terms and way of thinking of supply chain management. In addition, students are able to apply the basic methods of order-supply chain management.

Excellent

Students master comprehensively the basic terms and ways of thinking of supply chain management. In addition, students are able to apply a number of subscription-based supply chain management methods.

Mode of delivery

Distance learning

Recommended or required reading

Online

Planned learning activities and teaching methods

100% onlin (Self-Study) course.

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

ENROLMENT

Metropolia's Degree Students

• Go to: https://moodle.metropolia.fi/course/view.php?id=152
• Course enrolment key: Operations
• Password for the course final exam: Ordering

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

3 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Up to Student her-/himself.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Student her-/himself.

Location and Time

Up to Student her-/himself.
Local Area Networks TX00CD32-3028 24.08.2020-11.10.2020 5 credits (ICT19-SI1) + -
Learning outcomes of the course

After completing the course, the student understands basic terminology relating to reference models, LANs, WANs. The student knows the basics of Ethernet operation and Ethernet switching, IP addressing and the basics of IP subnetting. The student is able to set up a small LAN segment of two workstations, an Ethernet hub and a router connection, calculate subnet and set the workstation’s TCP/IP parameters and use ping to test destination reachability.

Prerequisites and co-requisites

Completing first year study modules or equivalent skills and knowledge.

Course contents

Basic network terminology relating to network protocols, networking models: Open System Interconnection (OSI) model and TCP/IP model, Ethernet operation, Internet Protocol (IP) addressing, subnetting and masks, Domain Name Server. Routing fundamentals, Structured Cabling and concepts: bandwidth, throughput, more details on 10/100/1000/10 G versions of Ethernet.

Assessment criteria

Satisfactory

Understands layered system models, characteristics of LAN, structured cabling, common equipment used in local area networks and applications. Understands the basics of TCP/IP-protocol and subnetting.

Good

Understands the basics of IP routing, structured cabling and common terminology. Can calculate IP-subnets, define IP-addresses on the workstation and test the usability of IP connection

Excellent

Can design, implement and test a small network segment, and connect a workstation into a local area network.

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)

Saana Vallius

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
Local Area Networks TX00CD32-3029 24.08.2020-11.10.2020 5 credits (ICT19-SI2) + -
Learning outcomes of the course

After completing the course, the student understands basic terminology relating to reference models, LANs, WANs. The student knows the basics of Ethernet operation and Ethernet switching, IP addressing and the basics of IP subnetting. The student is able to set up a small LAN segment of two workstations, an Ethernet hub and a router connection, calculate subnet and set the workstation’s TCP/IP parameters and use ping to test destination reachability.

Prerequisites and co-requisites

Completing first year study modules or equivalent skills and knowledge.

Course contents

Basic network terminology relating to network protocols, networking models: Open System Interconnection (OSI) model and TCP/IP model, Ethernet operation, Internet Protocol (IP) addressing, subnetting and masks, Domain Name Server. Routing fundamentals, Structured Cabling and concepts: bandwidth, throughput, more details on 10/100/1000/10 G versions of Ethernet.

Assessment criteria

Satisfactory

Understands layered system models, characteristics of LAN, structured cabling, common equipment used in local area networks and applications. Understands the basics of TCP/IP-protocol and subnetting.

Good

Understands the basics of IP routing, structured cabling and common terminology. Can calculate IP-subnets, define IP-addresses on the workstation and test the usability of IP connection

Excellent

Can design, implement and test a small network segment, and connect a workstation into a local area network.

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)

Saana Vallius

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
MS Project Software TT00EL33-3002 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

After the course, the student has the ability to use the most popular project management software in the Finnish industry (Microsoft Project)

Course contents

- Introduction to MS Project
- Using Resources
- Working with Tasks
- Creating Reports
- Customizing Project
- Advanced Topics
- Finishing Your Project
- Working with Multiple Projects
- Using Macros
- Analyzing Your Project with common type of analysis: PERT and EVA.

Mode of delivery

Distance learning

Recommended or required reading

Online.

Planned learning activities and teaching methods

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

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 31.12.2021
- 5 credits
Group(s)
- ATX21TV
Seats

0 - 3000

Teacher(s)

Virve Prami

Further information for students

Metropolian tutkinto-opiskelijat

Kurssi löytyy Moodlesta osoitteesta: https://moodle.metropolia.fi/course/view.php?id=1200
Kurssiavain: lukossa

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

Up to Student her-/himself.
MS-300: Deploying Microsoft 365 Teamwork TT00DZ47-3002 01.01.2021-31.12.2021 6 credits (ATX21TV) + -
Learning outcomes of the course

After completing this course, students will be able to:
• Configure SharePoint Site Collections and hub sites.
• Describe how to configure user profile properties.
• Describe how to manage audiences.
• Plan and configure managed metadata.
• Create and manage term groups, term sets, and terms.
• Manage SharePoint Online.
• Manage search.
• Configure and manage OneDrive for Business.
• Manage users and groups.
• Plan for a Microsoft 365 Teams deployment.
• Configure Office 365 for Teams.
• Manage the Teams environment.
• Configure teams and channels in Teams.
• Monitor collaboration solutions.
• Evaluate Office 365 collaboration workloads.

Course contents

The course consists of the following modules:
• Managing Office 365 content services.
• Managing SharePoint Online
• Enabling Microsoft Teams for collaboration.
• Enabling Office 365 workloads for collaboration.
• Laboratory exercises,.

Assessment criteria

Satisfactory

Student is able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams when assisted.

Good

Student is independently able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams.

Excellent

Student is independently able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams. In addition he/she is able to take the ”MS-300: Deploying Microsoft 365 Teamwork” certificate test.

Mode of delivery

Distance learning

Recommended or required reading

All course material is 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 - 1000

Teacher(s)

Virve Prami

Further information for students

Metropolia's Degree Student can enrol to this course via link https://moodle.metropolia.fi/enrol/index.php?id=665

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Virtual proportion

6 credits

Evaluation scale

Hyväksytty/Hylätty

Completion alternatives

N/A

Work placement(s)

N/A

Exam schedule

Can be find in study environment.

International connections

N/A

Students use of time and load

Up to Student her-/himself.

Content periodicity

Up to Student her-/himself.

Location and Time

Up to Student her-/himself.
MS-300: Deploying Microsoft 365 Teamwork TT00EJ58-3001 01.01.2021-31.12.2021 6 credits (ATX21TV) + -
Learning outcomes of the course

In this course, you will learn how to plan, configure, and manage SharePoint Site Collection and OneDrive for Business to enable modern content services. It provides best practices for the adoption and deployment of OneDrive for Business within an organization. It also covers sharing, security, and monitoring in SharePoint Online and OneDrive for business, including Microsoft Teams. In addition, Azure cloud services, virtual machines and Office 365 deployment are introduced when creating the exercise environment.

Course contents

The course consists of the following modules:
• Managing Office 365 content services.
• Managing SharePoint Online.
• Enabling Microsoft Teams for collaboration.
• Enabling Office 365 workloads for collaboration.
• Laboratory exercises.

Assessment criteria

Satisfactory

Student is able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams when assisted.

Good

Student is independently able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams.

Excellent

Student is independently able to deploy, manage, migrate, and secure SharePoint, OneDrive, and Teams. In addition he/she is able to take the ”MS-300: Deploying Microsoft 365 Teamwork” certificate test.

Name of lecturer(s)

Janne Salonen

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
- 6 credits
Group(s)
- ATX21TV
Seats

0 - 500

Teacher(s)

Virve Prami

Further information for students

Metropolia's Degree Student shall enrol this course direct in Moodle via link https://moodle.metropolia.fi/enrol/index.php?id=665

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

Student can do Final Exam whenever it is suitable for her/him.

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

It's up to Student her-/himself.
Mastering Search Engine Optimization (SEO) TT00CM68-3007 01.01.2021-31.12.2021 5 credits (ATX21TV) + -
Learning outcomes of the course

The goal of this course is for the student to be familiar with process of Search Engine Optimization (SEO) and learn to affect the visibility of a website or a web page in a search engine's results to increase the number of visitors coming from search engines. SEO is one of the most practical concepts of web development. After passing this course, the student will be able to analyze the SEO status of a web application and provide solutions to empower such web application in SEO concepts.
This course is 100% virtual thanks to the comprehensive tutorial videos made for this course.
The student will pass this course after submitting required assignments and project.

Course contents

History of Internet - Internet Archive - Internet before Google - Introduction to Search Engines - How do Search Engines work? - Internet Marketing - Search Engine Marketing - What is Search Engine Optimization? - Importance of SEO skill - Why does my website need SEO? - White hat and black hat techniques - The Impact of Usability and User Experience on SEO - Things that matters - Page titles - Meta tags - URLs structure - Site navigation – Headings – Content – Hyperlinks – Images - Meaningful error pages - Web/Mobile - robots.txt file - Disallowing Search Engines - Rel="canonical" - Myths & Misconceptions - Using social media - Search Engine Tools - Alexa Rank - Google Trends - PageSpeed Insights - Introduction to Google Analytics (EXTRA) - Working with Google Analytics (EXTRA)

Assessment criteria

Satisfactory

- The student is familiar with search engines and how they work
- The student understands why we need SEO
- The student is familiar with the concept of Internet Marketing and Search Engine Marketing
- The student can explain the major matters that are important for improving SEO

Good

- The student is familiar with the myths and misconceptions in SEO
- The student can apply matters that are important for improving SEO
The student can analyze a SEO status of a website/web page

Excellent

- The student can use Google Analytics and its features
- The student can use search engine tools to improve SEO on his/her website

Mode of delivery

Distance learning

Recommended or required reading

Can be find in student environment.

Planned learning activities and teaching methods

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

Assessment methods and criteria

Assignments 40%
Quiz 20%
Project 40%

Language of instruction

English

Timing

01.01.2021 - 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

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 - course is online (Self-Study) course.
Mastering Version Control with Git TT00CR85-3006 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 the concept of Version Control and the advantageous of using such systems in software development. Then the student will be fully introduced to Git as one of the most powerful and popular version control systems. After passing this course, the student will be able to work in teams of development and fully be able to participate simultaneously in order to add features to a software developing project in parallel with other team members. Finally, the student will get familiar with Github as a web-based Git repository hosting service.
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 projects.

Prerequisites and co-requisites

N/A

Course contents

What is Version Control? - Benefits of Version Control - Continuous Integration (CI) - What is Git? - How does Git work? - Who needs Git? - Git repository hosting services - Introduction to GitHub - Setting up a repository - Saving changes - Inspecting a repository - Viewing old commits - Undoing Changes - Rewriting history - Syncing - Making a Pull Request - Using Branches

Assessment criteria

Satisfactory

Evaluation criteria - satisfactory (1-2)
- The student understands the concept of Version Control Systems.
- The student is familiar with benefits of using version Control.
- The student can properly explain the concept of Continuous Integration (CI).
- The student understands how Git works.
- The student can properly explain who needs Git and what are the advantageous of using Git for such groups.
- The student can properly install Git on his/her local computer.
- The student is familiar with Git repository hosting services and know how to use GitHub.

Evaluation criteria - good (3-4)
- The student can properly set up a Git repository.
- The student can properly use Git commands such as init, clone, and config for setting up a repository.
- The student can properly save changes to a Git repository using Git commands such as add, commit, and stash.
- The student can properly inspect a repository using Git commands such as status and log.
- The student have a good understanding over undoing changes by using Git commands such as revert, reset, and clean.
- The student is familiar with Git commands for rewriting history such as commit –amend, rebase, and reflog.
- The student can fully apply
- The student can fully apply synchronizing tasks by using Git commands such as remote, fetch, pull, and push.

Evaluation criteria - excellent (5)
- The student can properly send a Pull Request.
- The student knows how to manage Branches of a Git repository.
- The student understand merging branches and the concepts of fats-forward merge and 3-way merge

Mode of delivery

Distance learning

Recommended or required reading

Lecture slides, tutorial videos, assignments

Planned learning activities and teaching methods

- Assignments
- Quiz
- Projects
- Self-study

Assessment methods and criteria

Assignments 40%
Quiz 20%
Project 40%

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

Can be find on study environment.

International connections

N/A

Students use of time and load

Lectures = 25h
Labs = 25h

Content periodicity

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

Location and Time

Up to Student - course is online (Self-Study) course.
Mastering the Fundamentals of RESTful API Design TT00DG26-3005 01.01.2021-31.12.2021 6 credits (ATX21TV) + -
Learning outcomes of the course

Designing APIs for use over the web is a key part of most web development projects these days. Knowing the best way to design them with longevity, testability and reliability in mind is important. The goal of this course is for the student to be familiar with APIs, the concept of API Design and what is essential to design of an API-based solution. By explaining API Design steps and API Design approaches, the student will be familiar with all these concepts in a practical way. Then the student will be familiar with different API styles, and obtain a deeper level of knowledge about REST and its key difference and advantageous over the other styles. Finally, the student will understand security and performance concerns.
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 an API? - Why we are using APIs? - What makes a business service good and practical? - How to use an API? - Clients using an API-based solution - What does an API-based solution consists of? - What is API Design? - API Design Decisions - API Design vs. API Architecture - Why do I need API Modeling Languages? - Steps to build an API - API Value Chain - Understand your API consumers - What do the Developers as your Consumers expect from your API? - Consumer-Oriented Design Approaches - API Design & Agile methodology - API Design approach
Intermediate Part:
API Description Languages - Usage of API Description Languages - Limitations of API Description Languages - APIs responsibilities - API properties - Different API Styles (REST-SOAP-RPC-HATEOAS) - REST vs. SOAP - REST Concept vs. HTTP Concept – Resources - Status Codes – URI - API Base URL Naming Tips - API Endpoints Tips
Advanced Part:
Richardson Maturity Model - Content Negotiation - Parameters - HTTP Methods - Input and Output Validation - Building API Approaches - Dealing with Backend Errors - Non-Functional Properties of APIs - Security Concerns - Security Mechanisms - Performance and Availability – Caching - Load Balancer - Agile & API - Backward Compatible Changes – Versioning - Developers & Open APIs - API Consumers Types - API Consumers Considerations - SLA Management - API Testing Tools - API Statistics

Assessment criteria

Satisfactory

- The students understand the difference between API Design and API Architecture.
- The student knows what does an API-based solution consists of and can explain them.
- The student understands the concept of API Design.
- The student knows the steps to build an API.
- The student knows APIs responsibilities and APIs properties
- The student briefly knows Different API Styles
- The student briefly knows HTTP Methods, resources, status codes, parameters, and URL.
- The student knows different Versioning styles.

Good

- The student knows what are API Modeling Languages and why we are using them.
- The student comprehensively knows Different API Styles
- The student comprehensively knows HTTP Methods, resources, status codes, parameters, and URL
- The student understands Non-Functional Properties of APIs.

Excellent

- The student knows Richardson Maturity Model.
- The student understands content negotiation.
- The student knows how to deal with Backend errors.
- The student has a good understanding about Security Concerns and Security Mechanisms.
- The student can determine if the changes of the API are Backward Compatible.
- The student knows SLA Management concept.

Mode of delivery

Distance learning

Recommended or required reading

Can be find in study environment.

Planned learning activities and teaching methods

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

Assessment methods and criteria

Lectures = 25h
Labs = 25h

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

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.
Media Distribution and Data Streams TX00CS27-3004 24.08.2020-11.10.2020 15 credits (TVT18-M) + -
Learning outcomes of the course

Upon completion of the study module the student is able to edit, move, package, and republish media content across different channels as well as understands the theory and practice associated with these processes. The student is familiar with different distribution technologies and systems, understands the role and exploitation of metadata and is able to apply these in projects. The student masters IP based data transfer and its use in media distribution as well as understands the data security requirements and risks associated with these. The student understands the operation of the media field, the various players and their roles as well as different revenue models.

Course contents

• Principles for online publishing of video and audio content
• Network protocols for media distribution
• Data security
• Virtual servers and their exploitation in media distribution
• Revenue models

Assessment criteria

Satisfactory

The student recognizes different distribution and publishing techniques and understands the special requirements these have for content.

Good

The student is able to identify different distribution and publishing technologies and is able to define the processes involved in the publication and the technologies needed. The student has the capacity to apply their learning in professional situations. The student understands the roles and requirements of different distribution technologies and is able to analyze their own expertise in media technology.

Excellent

The student shows excellent skills in mastering the concepts and models explored during the study module. The student is able to analyze in a fluent and grounded manner and is able to present practical development measures. The student is well equipped to apply their learning in different situations such as leisure, studies and work life. The student is able to analyze their expertise regarding the publishing and distribution processes of multi-channel media and the development of their own expertise.

Mode of delivery

Face-to-face

Recommended or required reading

web

Planned learning activities and teaching methods

Lectures, Labs and projects

Assessment methods and criteria

To pass, you need 40% of points from each part (max number shown, total 100 points):
* Toni 15 p
* Ossi 15 p
* Patrick 15 p
* Ulla 15 p
* Project 40 p

Scale:
?90 5
?80 4
?70 3
?60 2
?40 1
<40 FAILED

Language of instruction

Tuition in Finnish

English

Timing

24.08.2020 - 11.10.2020

Enrollment date

04.05.2020 - 30.08.2020
- 15 credits
Group(s)
- TVT18-M
Seats

0 - 40

Teacher(s)

Patrick Ausderau, Ulla Sederlöf, Ossi Sorjonen, Toni Spännäri, Matti Peltoniemi

Further information for students

BYOD (bring your own device - laptop):
* install metropolia VPN: https://vpn.metropolia.fi/
* if windows machine, real terminal (power shell or git bash or ...)
* IDE for web development (e.g. vscode or webstorm or ...)

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5

Work placement(s)

projects for real customers

Exam schedule

no exam

Content periodicity

weeks 1-3: Lectures and labs
weeks 4-5: projects
weeks 6-7: Lectures and labs

Location and Time

9:00 - 16:00 Karaportti
Based on Covid situation, might be some online teaching
Media Services Project TX00CG61-3006 19.10.2020-13.12.2020 15 credits (TVT18-M) + -
Learning outcomes of the course

Student understands requirements for media products and services, and knows how to define customer needs. Student can define media product, and understands the process and timetable requirements of the product. Student knows essential quality assurance procedures. Student knows essential business and people skills: meetings, communication, buildind and giving presentations, negotiations. Student understands how prototype can be transferred to finished product, and can define revenue models for the product.

Prerequisites and co-requisites

Essential studies of media engineering (contact head of degree for more information)

Course contents

- Project management
- Requirement spesification of media product with customer
- Building and publishing of media product
- Documentation
- Building a prototype, conceptualization
- Resource management and evaluation

Assessment criteria

Satisfactory

- student fairly understands the professional field of the project
- student can work as a member of project team
- student can define tasks and reach defined goals

Good

- student can conceptualize new media products
- student can define essential requirements of the product
- student can communicate fluently with the customer

Excellent

- student works goal-orientedly as a driving force for the team

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)
- TVT18-M
Seats

0 - 40

Teacher(s)

Jarkko Vuori, Ulla Sederlöf, Toni Spännäri

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Medical Imaging TX00CG36-3006 19.10.2020-13.12.2020 5 credits (TVT18-H) + -
Learning outcomes of the course

After completing the course, the student is familiar with different medical imaging methods and devices, understands physical principles of medical imaging, understands basic safety principles related to device usage, and understands special requirements related to application environment.

Course contents

• X-ray and computerized tomography
• Magnetic imaging
• Ultrasound imaging
• Other medical imaging methods
• PACS and DICOM

Assessment criteria

Satisfactory

Student recognizes some medical imaging methods and devices, recognizes basic safety principles and application environment requirements, and uses learned knowledge.

Good

Student recognizes different medical imaging methods and devices, understands basic safety principles and application environment requirements, and applies learned knowledge.

Excellent

Student thoroughly recognizes different medical imaging methods and devices, has a high-level understanding of basic safety principles and application environment requirements, and applies learned knowledge in advanced manner.

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-H
Seats

0 - 40

Teacher(s)

Matti Fischer, Sakari Lukkarinen, Juha Kopu, Pia-Marja Vähäkangas

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Myllypurontie 1

Evaluation scale

0-5
Methodological Studies TX00CR84-3025 24.08.2020-13.12.2020 5 credits (TVT17-O) + -
Learning outcomes of the course

Methodological studies enhance the working proficiency of the student to effectively participate the innovation studies or to complete the final thesis. The contents of the practical implementation of the course may vary by specialization, timing and way of integration to the other studies. Unless otherwise agreed, the student participates the methodological studies organized by his or her specialization option.

Course contents

-Supervised group work in connection with final thesis or innovation studies
-Scoping of work target, limitations and choosing appropriate methods
-Information search, critical assessment and academic writing skills relevant to the task
-Joint knowledge production in teams and projects
-Various communications skills and techniques in presenting results, relevant to the task
-Peer assessment, giving and receiving constructive feedback

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 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 leisure, 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

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- TVT17-O
Seats

0 - 40

Teacher(s)

Juha Haimala, Jussi Alhorinne

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Myllypurontie 1

Evaluation scale

0-5
Methodological Studies TX00CR84-3027 24.08.2020-30.11.2020 5 credits (TVT17-M) + -
Learning outcomes of the course

Methodological studies enhance the working proficiency of the student to effectively participate the innovation studies or to complete the final thesis. The contents of the practical implementation of the course may vary by specialization, timing and way of integration to the other studies. Unless otherwise agreed, the student participates the methodological studies organized by his or her specialization option.

Course contents

-Supervised group work in connection with final thesis or innovation studies
-Scoping of work target, limitations and choosing appropriate methods
-Information search, critical assessment and academic writing skills relevant to the task
-Joint knowledge production in teams and projects
-Various communications skills and techniques in presenting results, relevant to the task
-Peer assessment, giving and receiving constructive feedback

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 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 leisure, 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

24.08.2020 - 30.11.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- TVT17-M
Seats

0 - 40

Teacher(s)

Marjo-Riitta Näyhö, Juha Haimala

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Karaportti 2

Evaluation scale

0-5
Methodological Studies TX00CR84-3028 24.08.2020-30.11.2020 5 credits (ICT17-M) + -
Learning outcomes of the course

Methodological studies enhance the working proficiency of the student to effectively participate the innovation studies or to complete the final thesis. The contents of the practical implementation of the course may vary by specialization, timing and way of integration to the other studies. Unless otherwise agreed, the student participates the methodological studies organized by his or her specialization option.

Course contents

-Supervised group work in connection with final thesis or innovation studies
-Scoping of work target, limitations and choosing appropriate methods
-Information search, critical assessment and academic writing skills relevant to the task
-Joint knowledge production in teams and projects
-Various communications skills and techniques in presenting results, relevant to the task
-Peer assessment, giving and receiving constructive feedback

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 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 leisure, 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

Distance learning

Language of instruction

English

Timing

24.08.2020 - 30.11.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- ICT17-M
Seats

0 - 40

Teacher(s)

Ulla Paatola, Marjo-Riitta Näyhö, Juha Haimala

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
Methodological Studies TX00CR84-3029 24.08.2020-13.12.2020 5 credits (TVT17-PE) + -
Learning outcomes of the course

Methodological studies enhance the working proficiency of the student to effectively participate the innovation studies or to complete the final thesis. The contents of the practical implementation of the course may vary by specialization, timing and way of integration to the other studies. Unless otherwise agreed, the student participates the methodological studies organized by his or her specialization option.

Course contents

-Supervised group work in connection with final thesis or innovation studies
-Scoping of work target, limitations and choosing appropriate methods
-Information search, critical assessment and academic writing skills relevant to the task
-Joint knowledge production in teams and projects
-Various communications skills and techniques in presenting results, relevant to the task
-Peer assessment, giving and receiving constructive feedback

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 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 leisure, 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

24.08.2020 - 13.12.2020

Enrollment date

04.05.2020 - 30.08.2020
- 5 credits
Group(s)
- TVT17-PE
Seats

0 - 40

Teacher(s)

Antti Laiho, Marjo-Riitta Näyhö

Unit, in charge

School of ICT

Degree Programme

Information and Communication Technology

Unit location

Leiritie 1

Evaluation scale

0-5
Methodological Studies TX00CR84-3030 24.08.2020-11.10.2020 5 credits (ICT18-N) + -

Learning outcomes of the course

Methodological studies enhance the working proficiency of the student to effectively participate the innovation studies or to complete the final thesis. The contents of the practical implementation of the course may vary by specialization, timing and way of integration to the other studies. Unless otherwise agreed, the student participates the methodological studies organized by his or her specialization option.

Course contents

-Supervised group work in connection with final thesis or innovation studies
-Scoping of work target, limitations and choosing appropriate methods
-Information search, critical assessment and academic writing skills relevant to the task
-Joint knowledge production in teams and projects
-Various communications skills and techniques in presenting results, relevant to the task
-Peer assessment, giving and receiving constructive feedback

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 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 an

Information and Communication TechnologyBachelor of Engineering, 240 ECTS

Bachelor of Engineering, BEng

Academic year 2020 - 2021

Information and Communication Technology
Bachelor of Engineering, 240 ECTS