Artificial Intelligence with Python (5 cr)
Code: TI00FA69-3009
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
01.01.2025 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Teaching languages
- English
- Degree programmes
- Information and Communication Technology
Implementation has 8 reservations. Total duration of reservations is 56 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 15.01.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMD758
Oppimistila
|
|
Wed 22.01.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMD758
Oppimistila
|
|
Wed 29.01.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
|
Wed 05.02.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
|
Wed 12.02.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
|
Wed 26.02.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
|
Wed 05.03.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
|
Wed 12.03.2025 time 09:00 - 16:00 (7 h 0 min) |
Artificial Intelligence with Python TI00FA69-3009 |
KMC565
Digitila
|
Changes to reservations may be possible.
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
Evaluation scale
0-5