392180 Klausur: Machine Learning Methods and Applications (Kl) (WiSe 2026/2027)
Contents, comment
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Im Kurs geht es um eine konzeptuelle und praktische Einführung in Modellierungen im Bereich des maschinellen Lernens. Welche Probleme können mit ML adressiert werden, welche Algorithmen kann man dafür verwenden, wie werden diese evaluiert und welche Vor/Nachteile haben diese?
Requirements for participation, required level
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Grundkenntnisse Programmierung und Formalisierung
Teaching staff
Deadlines
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Registration via the electronic course catalogue (eKVV) by 2/1/27
Examinations ( Calendar view )
| Date | Time | Format / Room | Comment about examination |
|---|---|---|---|
| Monday, February 8, 2027 | 10-12 | Unpublished |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-MLMA Machine Learning Methods and Applications | Machine Learning Methods and Applications | Ungraded examination
|
Student information |
| 39-Inf-WP-KI Artificial Intelligence (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-KI-x Artificial Intelligence (Focus) | Einführende Veranstaltung Seminar o. Vorlesung | Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
No more requirements
No eLearning offering available
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- Last update basic details/teaching staff:
- Friday, October 30, 2026
- Last update times:
- Friday, October 30, 2026
- Last update rooms:
- Friday, October 30, 2026
- Type(s) / SWS (hours per week per semester)
- written examination (Kl) / 2
- Department
- Faculty of Technology
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