Artificial intelligence with Python (3 ECTS)
Code: TT00EV76-3019
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
- TT00EV76
Learning outcomes
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence using Python Programming Language in practise.
Content
- Python Quick Recap
- Python Arrays, Tables, Vectors, Matrices
- AI: Short Description
- AI: Regression 1
- AI: Regression 2
- AI: Classification 1
- AI: Classification 2
- AI: Miscellanae
Teaching methods
100% online (Self-Study) course.
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Learning materials and recommended literature
Online.
Alternative completion methods of implementation
None.
Internship and working life connections
N/A
Exam dates and retake possibilities
Online.
International connections
N/A
Student workload
Course can be done in own pace. So, the timetable is up to student her-/himself.
Content scheduling
Course can be done in own pace. So, student can schedule her/his studies her-/himself.
Further information for students
ENROLLING
Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi
Metropolia's Degree Student
- Go to 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
If you have problems with enrolling this course or questions about it, please contact to viopesupport@metropolia.fi
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.