Search result: Courses in Autumn Semester 2020
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||
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263-2400-00L | Reliable and Interpretable Artificial Intelligence ![]() | W | 6 credits | 2V + 2U + 1A | ||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| M. Vechev | ||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | ||||||||
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | 1 hrs | M. Vechev | |||||||||
263-3210-00L | Deep Learning ![]() ![]() | W | 8 credits | 3V + 2U + 2A | ||||||||
263-3210-00 V | Deep Learning The lecturers will communicate the exact lesson times from «online» courses. | 3 hrs |
| T. Hofmann | ||||||||
263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann | ||||||||
263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann | |||||||||
263-5210-00L | Probabilistic Artificial Intelligence ![]() ![]() | W | 8 credits | 3V + 2U + 2A | ||||||||
263-5210-00 V | Probabilistic Artificial Intelligence The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality. | 3 hrs |
| A. Krause | ||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 hrs |
| A. Krause | ||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause |
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