User Based Welfare Technology (3 cr)
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 is running.
- Number of ECTS credits allocated
- 3 cr
- Institution
- Tampere University of Applied Sciences, TAMK Pääkampus
- Teaching languages
- Finnish
- Seats
- 0 - 180
- Course
- C-02630-7F00EC92
Evaluation scale
0-5
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
Objective
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
Location and time
Non-stop between 13.1.2025 and 30.5.2025.
Materials
Moodle articles and other material presented on the course platform. Material and literature found by the student.
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.
Exam schedules
A numerically assessed exam with two possible attempts.
Completion alternatives
No optional modes of performance.
Student workload
3 cr = 3 x 27 h students work (81 h)