| Detailinformationen |
| Quellcurriculum |
Masterstudium Artificial Intelligence 2024W |
| Ziele |
(*)In the practical lab, students will learn how to apply the theoretical concepts and foundations of visualization in the age of machine learning that are introduced in the accompanying lecture.
|
| Lehrinhalte |
(*)This practical course will cover all steps of the explainable AI pipeline.
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| Beurteilungskriterien |
(*)Individual and group assignments.
|
| Lehrmethoden |
(*)Tutorials on various technologies and techniques.
Presentation and discussion of assignments.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Study material will be provided in the course.
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)in collaboration with 993MLPEEAIV20: VL Explainable AI (1.5 ECTS) equivalent to
993MLPEEAIK19: KV Explainable AI (3 ECTS)
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| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
993MLPEEAIU20: UE Explainable AI (2020W-2024S)
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