Module 39-Inf-MLMA Machine Learning Methods and Applications
Semester selection: WiSe 2025/2026 SoSe 2025 Previous...
Explanation regarding the elements of the module
Begleitend zur Vorlesung gibt es verpflichtende Übungen, in denen die Konzepte angewandt werden. In der Klausur, mündlichen Prüfung oder in einem durch Studierende vorgestellten Projekt wird die Fähigkeit zur Verallgemeinerung und Einordnung in das Zusammenhangswissen geprüft. Abschlussprüfung und Übungen stellen ein Portfolio mit Abschlussprüfung dar.
Accompanying the lecture there are obligatory exercises in which the concepts are applied. In the written exam, oral exam or in a project presented by students, the ability to generalize and place the concepts in contextual knowledge is tested. Final examination and exercises constitute a portfolio.
Machine Learning Methods and Applications (exercise)
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392181 | Hammer | Tutorial A: Machine Learning Methods and Applications Course taught in English | Ü | Tue 12-14 (every two weeks) in X-E0-228 [20.10.2025-06.02.2026] |
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| 392181 | Hammer | Tutorial B: Machine Learning Methods and Applications Course taught in English | Ü | Fri 12-14 (every two weeks) in S1-138 [13.10.2025-06.02.2026] |
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Machine Learning Methods and Applications (lecture)
| Reference no. | Teaching staff | Topic | Type | Dates | My eKVV |
|---|---|---|---|---|---|
| 392180 | Hammer |
Machine Learning Methods and Applications
Limited number of participants: 60 Electronic course catalogue (eKVV) participant management Course taught in English |
V | Mon 10-12 in H11 [13.10.2025-06.02.2026] |
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