Block
Research Practical Course: Interactive Learning [T-INFO-112772]
Type
Examination of another typeCredits
6Recurrence
Each summer termVersion
3Responsible
Organisation
- KIT-Fakultät für Informatik
Events
| Course Number | Name | SWS | Type |
|---|---|---|---|
| SS24 2400139 | Research Laboratory: Interactive Learning | 4 | internship (P) |
Exams
| Course Number | Name | Appointments |
|---|
Competence Certificate
The assessment is carried out as an examination of another type (§ 4 Abs. 2 No. 3 SPO).
Presentation on the chosen topic at the end of the semester and written elaboration.
Prerequisites
none.
Recommendation
We highly recommend to take this research project in combination with the “Interactive Learning” seminar.
It is highly recommended to attend the “Explainable Artificial Intelligence” lecture in parallel or prior to this project.
• Experience in Machine Learning is recommended, e.g. through prior coursework.
◦ The Computer Science Department offers several great lectures e.g., “Maschinelles Lernen - Grundlagen und Algorithmen” and “Deep Learning ”
• A good mathematical background will be beneficial
• Python experience is recommended
• We might use the PyTorch deep learning library In the exercises. Some prior knowledge in this is helpful but not necessary.