Artificial Intelligence and Robotics in Health Care and Social Services (5 ECTS)
Code: S000FF71-3003
General information
- Enrollment
-
05.05.2025 - 31.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
04.09.2025 - 14.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 5 ECTS
- Mode of delivery
- Online
- Unit
- (2019-2024) School of Rehabilitation and Examination
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Master's Degree Programme in Clinical Expertise in Digital Health Care and Social Services
- Teachers
- Päivi Haho
- Juha Havukumpu
- Teacher in charge
- Päivi Haho
- Groups
-
S3124S6Kliinisen asiantuntijuuden tutkinto-ohjelma, digitaalisten palvelujen asiantuntija sosiaali- ja terveysalalla, ylempi
- Course
- S000FF71
Objective
The purpose of the course is to enhance the student’s technological competence in the basics of artificial intelligence, robotics and computer programming. In addition, the purpose is to enhance competence in methods of assessing user-oriented development and usability and in the practical application of these methods.
The student enhances their technological competence, knows the basic concepts of artificial intelligence and robotics and understands the basics of programming. The student recognises the basic principles of usability and is able to apply usability testing methods in practice. The student is able to plan and implement a user-oriented development process and to evaluate the impacts and usability of the developed service.
Content
- Basics of artificial intelligence
- Basics of robotics and service robotics
- Practical applications in health care and social services
- User-oriented development
- Usability of services and evaluation of usability
- Ethics, data protection and information security
Location and time
The course will take place from 4.9.- 07.12.25 and all work will be done online; in Moodle.
Materials
All material in Moodle, which will open when the implementation starts.
Teaching methods
The course includes eight modules of study material to be completed in the Moodle environment.
Modules:
1. Fundamentals of AI
2. Applications of AI
3. Ethics of AI
4. Fundamentals of robotics
5. General applications of robotics
6. Bionic limb prostheses
7. Ethics in robotics
8. Project work + peer review
The course will be delivered entirely online.
Employer connections
-
Exam schedules
-
Completion alternatives
-
Student workload
A total of five credits means 135 hours of student work.
(1 credit = 27 h, 5 credits = 135 h)
Further information
By returning the online exam or online assignment, students confirm that their demonstration of competence is based on independent work and ethical behaviour. Failure to do so may result in suspension from the UAS for up to one year. Act on Universities of Applied Sciences 932/2014, Section 38.
In order to ensure the independent demonstration of competence in online learning, the teacher may, at his/her discretion, require the demonstration of competence under supervised conditions or by means of an oral examination. The teacher will inform the student of the method of demonstrating competence at the latest at the beginning of the course.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student demonstrates that they understand the basic content of the course but there are shortcomings in their ability to independently acquire and interpret information and apply what they have learned.
Assessment criteria, good (3)
The student demonstrates that they have a good understanding of the content of the course. They actively acquire information and interpret the key connections between different pieces of information. The student has the ability to analyse what they have learned and to apply it in practice.
Assessment criteria, excellent (5)
The student demonstrates that they have a diverse and broad understanding of the content of the course. They possess excellent information acquisition skills that are suited to the purpose at hand. The student demonstrates independence and responsibility in the choices they make. They have a creative and broad-based ability to apply what they have learned in practice.
Assessment criteria, approved/failed
Approved: The student demonstrates that they understand the basic content of the course but there are shortcomings in their ability to independently acquire and interpret information and apply what they have learned in practice.
Further information
RPL (Recognition of Prior Learning)
The course can be accredited with prior Master’s degree level studies the contents of which correspond to the contents of this course, or with strong competence with similar content obtained in other ways.
Further information
RPL (Recognition of Prior Learning)
The course can be accredited with prior Master’s degree level studies the contents of which correspond to the contents of this course, or with strong competence with similar content obtained in other ways.