Introduction to Artificial Intelligence (3 ECTS)
Code: TT00EV75-3039
General information
- Timing
- 31.12.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 3 ECTS
- Virtual portion
- 3 ECTS
- Mode of delivery
- Online
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 1000
- Degree programmes
- Information and Communication Technology
- Teachers
- Mika Hyyryläinen
- Course
- TT00EV75
Learning outcomes
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence in practise.
Content
- Introduction
- Data Exploration
- Supervised learning
- Unsupervised learning
- Deep Learning
- Reinforcement learning
Teaching methods
Course is 100% online (Self-Study) course and it can be done in own pace.
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Learning materials and recommended literature
All of course material is online in Metropolia's Viope.
Alternative completion methods of implementation
N/A
Internship and working life connections
N/A
Exam dates and retake possibilities
N/A
International connections
N/A
Student workload
Course is self-study course, so, timetable is totally up to student her-/himself.
Content scheduling
Course is self-study course, so, student can schedule course her-/himself.
Assessment methods and criteria
After student has done at least 80% of tasks he/she can get grade pass.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
After student has done 80% of course he/she get's grading pass.