Introduction to Academic StudiesLaajuus (1 cr)
Code: FEK25TB01
Credits
1 op
Objective
The student:
- is familiar with his/her UAS and the field of education, as well as reflects on career opportunities
- possesses the study skills required for higher education
- understands his/her role as a student and can work in teams
-can identify and analyze ethical challenges within AI
Content
- various services at the UAS
- study techniques
- knowledge of the field and personal career goals
- teambuilding
-ethics in AI
Qualifications
No prerequisities
Assessment criteria, approved/failed
Pass: The student
-possesses basic knowledge about the university and field of study and can reflect on future career opportunities.
-demonstrates good study skills required for higher education.
-understands her/his role as a student and can collaborate with others.
-can identify ethical challenges in AI.
Fail: The above-mentioned criteria are not met.
Enrollment
02.07.2025 - 30.06.2026
Timing
01.08.2025 - 31.07.2026
Number of ECTS credits allocated
1 op
Virtual portion
1 op
Mode of delivery
Distance learning
Unit
Faculty of Business
Campus
Vasa, Wolffskavägen 33
Teaching languages
- Svenska
Degree programmes
- Degree Programme in Business Administration
Teachers
- Anna-Lena Berglund
Teacher in charge
Anna-Lena Berglund
Objective
The student:
- is familiar with his/her UAS and the field of education, as well as reflects on career opportunities
- possesses the study skills required for higher education
- understands his/her role as a student and can work in teams
-can identify and analyze ethical challenges within AI
Content
- various services at the UAS
- study techniques
- knowledge of the field and personal career goals
- teambuilding
-ethics in AI
Evaluation scale
H-5
Assessment criteria, approved/failed
Pass: The student
-possesses basic knowledge about the university and field of study and can reflect on future career opportunities.
-demonstrates good study skills required for higher education.
-understands her/his role as a student and can collaborate with others.
-can identify ethical challenges in AI.
Fail: The above-mentioned criteria are not met.
Qualifications
No prerequisities