Introduction to Artificial Intelligence (3 ECTS)
Code: TT00EV75-3032
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
- Degree Programme in Information Technology
- Teachers
- Mika Hyyryläinen
- Course
- TT00EV75
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Materials
All of course material is online in Metropolia's Viope.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Completion alternatives
N/A
Evaluation methods and criteria
After student has done at least 80% of tasks he/she can get grade pass.
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.
Teaching methods
Course is 100% online (Self-Study) course and it can be done in own pace.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
After student has done 80% of course he/she get's grading pass.
Further information
ENROLLING
Open UAS and CampusOnline Student via https://hakija.oma.metropolia.fi/
Metropolia's Degree Student: https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields