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User Based Welfare Technology (3 ECTS)

Code: C-02630-7F00EC92-3010

General information


Enrollment
02.12.2024 - 30.04.2025
Registration for the implementation has ended.
Timing
13.01.2025 - 30.05.2025
Implementation has ended.
Number of ECTS credits allocated
3 ECTS
Institution
Tampere University of Applied Sciences, TAMK Pääkampus
Teaching languages
Finnish
Seats
0 - 180
No reservations found for implementation C-02630-7F00EC92-3010!

Learning outcomes

The student - is able to describe and evaluate the potential of welfare technology to maintain wellbeing and promote health. - is able to find out the needs of different user groups and user experiences for different welfare technology solutions. - knows methods of developing welfare technologies for the needs of different user groups. - knows the principles of ethics in the user context of welfare technologies. - knows and understands the importance of data protection in the context of welfare technologies.

Content

- maintaining well-being and promoting health as concepts - key concepts and content in welfare technologies - the potential of technology in maintaining well-being and health - the core content and concepts of user-oriented design - methods to address users' needs - methods for the joint development of need-based and user-oriented technologies - ethics and user data protection in the context of welfare technology

Teaching methods

100% online course on the Moodle learning platform (https://moodle.tuni.fi), a self-paced modules. The course includes independent reading and writing assignments and a final exam on Moodle. The course is delivered only in Finnish. The course is divided into modules. Passing all modules is a prerequisite for completing the course.

Location and time

Non-stop between 13.1.2025 and 30.5.2025.

Learning materials and recommended literature

Moodle articles and other material presented on the course platform. Material and literature found by the student.

Alternative completion methods of implementation

No optional modes of performance.

Exam dates and retake possibilities

A numerically assessed exam with two possible attempts.

Student workload

3 cr = 3 x 27 h students work (81 h)

Content scheduling

1. Familiarisation with the course materials and completion of independent assignments 2. Independent completion of modules 1-6 3. Final examination 4. Course feedback

Assessment methods and criteria

1. Independent tasks: assessment pass/fail 2. Numerical exam (0-5)

Evaluation scale

0-5

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