Metropolia Moodle

Education programme and curriculum

• Master's Degree Programme in Information Technology
• T1625S6 Master's Degree Programme in Information Technology (in English)

Teaching language

• English

Learning outcomes

Upon completion of the course, the student will be familiar with the innovation processes in medical devices, be able to identify, assess and justify new genuine needs for medical devices, be able to take into account the specificities of the clinical application environment, be able to use the knowledge and methods learned appropriately, and be able to communicate fluently and in a timely manner.

Course contents

• Medical devices research, development and innovation (RDI)
• RDI methods and their application in the development of medical devices and software
• Clinical environments, users, processes and care practices
• Implementation of needs assessment for an innovation

Teaching methods

On-campus lectures, discussions, groupworks, home assignments

Time and location

• Myllypuro campus, classroom MPC5014
• Every second week's Friday, starts 22.8. at 13:00 - 16:00

Students workload

• 5 ECTS (133 hours), divided evenly over the whole autumn semester

Content scheduling

• 22.8.2025 09:00 - 12:00 -- Medical Technology - Orientation to studies
• 22.8.2025 13:00 - 16:00 -- Part 1. Introduction to RDI process for medical devices
• 5.9.2025 13:00 - 16:00 -- Part 2. Need finding
• 19.9.2025 13:00 - 16:00 -- Part 3. Disease state fundamentals
• 3.10.2025 13:00 - 16:00 -- Part 4. Existing solutions
• 24.10.2025 13:00 - 16:00 -- Part 5. Stakeholder analysis
• 7.11.2025 13:00 - 16:00 -- Part 6. Market analysis
• 21.11.2025 13:00 - 16:00 -- Part 7. Need scoping
• 5.12.2025 13:00 - 16:00 -- Part 8. Need criteria and summary

Further information

• Instructor: Sakari Lukkarinen, Senior Lecturer, School of ICT
• Student Guide to Biodesign
• Textbook and videos

TT00GX54-3001
TT00GX54-3002
TT00GX54-3003
TT00GX54-3004

Access to the course requires that you have been enrolled in one of the implementations listed above, and you must be logged in to Moodle using your Metropolia user account (not Haka).

In this course, students will learn data analytics theory and practical tools. Students will master the art of acquiring, refining, and shaping data to align with specific objectives, honing their skills through hands-on experience. Students will emerge with a holistic mastery of data manipulation, model selection, decision evaluation, and value assessment. The skill set will empower them to contribute effectively to data-driven decision-making processes in various professional contexts, positioning them to continue to learn more about the field of business analytics

The lecturer for this course are: 

1. Misa Bakajic misa.bakajic@metropolia.fi

The aim of the training is that teachers can integrate community and interaction in their own teaching and they can use different methods, practices and technologies in different stages of the learning process. The training is structured so that it can be completed independently as a self-study online course or in a guided group setting.