Artificial Intelligence with Python (5 ECTS)
Code: TI00FA69-3007
General information
- Enrollment
- 02.12.2023 - 31.12.2023
- Registration for the implementation has ended.
- Timing
- 01.08.2025 - 19.10.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Teaching languages
- English
- Degree programmes
- Information and Communication Technology
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
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Wed 20.08.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Fri 22.08.2025 time 13:00 - 16:00 (3 h 0 min) |
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Wed 27.08.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 29.08.2025 time 13:00 - 16:00 (3 h 0 min) |
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Wed 03.09.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 05.09.2025 time 13:00 - 16:00 (3 h 0 min) |
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Wed 10.09.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 12.09.2025 time 13:00 - 16:00 (3 h 0 min) |
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Wed 17.09.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Fri 19.09.2025 time 13:00 - 16:00 (3 h 0 min) |
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Wed 24.09.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Fri 26.09.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Wed 01.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Fri 03.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Wed 08.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
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Fri 10.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Artificial Intelligence with Python TI00FA69-3007 |
KMD569
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Changes to reservations may be possible.
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
Evaluation scale
0-5