Artificial Intelligence with Python (3 ECTS)
Code: TT00EV76-3067
General information
- Enrollment
- 01.08.2025 - 28.07.2026
- Registration for implementation has not started yet.
- Timing
- 01.08.2025 - 31.07.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 3 ECTS
- Virtual portion
- 3 ECTS
- Mode of delivery
- Online
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 1000
- Degree programmes
- Information and Communication Technology
- Teachers
- Tino Kankkunen
- Teacher in charge
- Janne Salonen
- Groups
-
Viope_nonstop_15Viope_nonstop_15
-
TIVI_TOP_OPINNOTTIVI - TOP STUDIES
- Course
- TT00EV76
Objective
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
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Materials
Online.
Teaching methods
100% online (Self-Study) course and it can be done in own pace.
Employer connections
N/A
Exam schedules
Online.
International connections
N/A
Completion alternatives
None.
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.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
After student has done 80% of course he/she get's grading pass.
Assessment methods and criteria
In order to pass the course, please do at least 80 % of the tasks (quiz, open) and write a learning diary (max two A4 from the whole course). Send your learning diary to viopesupport@metropolia.fi.
Grading is pass/fail.