Artificial Intelligence in Practise (5 ECTS)

Learning outcomes

The student
- knows the essential concepts of AI and the principles of algorithmic thinking.
- can critically evaluate the reporting and discussions around AI.
- is able to assess the possibilities and challenges that AI brings to their own working filed in the future.
- can compare, how different AI applications apply to their own working field.
- is able to apply the information related to AI to develop their own working field.
- is able to consider ethical issues related to the use of AI.

Content

Elements of Artificial Intelligence free online course 2 ECTS
- basics of AI and examples of the AI usage
- AI problem solving
- real world AI applications
- machine learning and neural networks
- implications of AI
Part II: Use of AI in student’s own working field and deepening student’s AI competence 3 ETCS
Student independently performs a systematic literature review to find out
- how AI is used in her or his working field
- what kind of ethical issues are related to the use of AI
- how information may be critically applied

Teaching methods

Net-learning, independent
Face-to-face teaching
Interactive lecture
Seminar
Collaborative learning
Coursework

Location and time

Independent studies: Elements of AI 1.3.–7.4.2021
Meetings in Teams
7.4.2021 at 16.30–20
28.4.2021 at 16.30–20
19.5.2021 at 16.30–20

Learning materials and recommended literature

Reading recommendations during the course.

Student workload

Net-learning, independent 54 h
Face-to-face teaching, counseling, seminar 14 h
Literature, Group-work, Reporting 67 h

Content scheduling

Part I: Elements of Artificial Intelligence free online course 2 ECTS
This online course (2 ECTS) is the first part of a 5 ECTS course.
Part II: Use of AI in student’s own working field and deepening student’s AI competence 3 ETCS

Further information for students

The course is available for Master's students studying in the field of Culture, Health Care and Social Services.
Before the contact teaching, student has to pass Elements of Artificial Intelligence free online course 2 ECTS offered by Helsinki University https://www.elementsofai.com/ . This course is available continuously.
Elements of Artificial Intelligence free online course is the pedagogical solution of the first part of this course.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student demonstrates competence in the basic content of the course, but there are deficiencies in his/her ability to find and interpret information and to apply the learned content to the context of working life.

Assessment criteria, good (3)

The student demonstrates good competence in the content of the course. He/she is able to actively search for information and to identify its connection to working life. The student is able to analyse and apply the learned content to the context of working life.

Assessment criteria, excellent (5)

The student demonstrates versatile and extensive competence in the content of the course. He/she has an excellent ability to search for relevant information. The student’s solutions demonstrate independence, responsibility, and skills in guiding others. His/her ability to apply the learned content to the context of working life exhibits creativity and versatility.

Assessment criteria, approved/failed

Approved: The student demonstrates competence in the basic content of the course,