Introduction to AILaajuus (3 cr)
Code: AT00DG88
Credits
3 op
Teaching language
- English
Objective
The student is able to
- descripe what Artificial Intelligence means in practice and what aspects it includes
- descripe what makes Artificial Intelligence a revolutionary technology
- connect Artificial Intelligence in different industries
- relate ethical aspects related to the use of artificial intelligence
- understand the future of Artificial Intelligence
- understand how artificial intelligence has grown, changed and developed rapidly over the last few years
Enrollment
01.08.2025 - 30.07.2026
Timing
01.08.2025 - 31.07.2026
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- English
Seats
0 - 3000
Degree programmes
- Complementary competence, Bachelor's
Teachers
- Saku Syngelmä
- Jan Heikkilä
Groups
-
TLABAVONS25C
-
TLABTO25-26EComplementary competence (Bachelor's) 2025-2026, Faculty of Technology
Learning outcomes
The student is able to
- descripe what Artificial Intelligence means in practice and what aspects it includes
- descripe what makes Artificial Intelligence a revolutionary technology
- connect Artificial Intelligence in different industries
- relate ethical aspects related to the use of artificial intelligence
- understand the future of Artificial Intelligence
- understand how artificial intelligence has grown, changed and developed rapidly over the last few years
Implementation and methods of teaching
Time- and location-independent online implementation. The course does not have a specific teacher in charge. Students get to freely go through the material while the course is available.
Timing and attendance
Study according to your personal timetable, everyone can choose their own
Learning material and recommended literature
All of the needed material is available online
Alternative completion methods
No alternative methods of completion
Learning environment
Moodle as a learning environment, where you can complete the course at your own pace.
Contents
In this course, students will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks.
Assessment criteria
Students must complete all of the material and exams within the course successfully
Assessment scale
Approved/Failed