Search result: Courses in Autumn Semester 2022
DAS in Data Science ![]() | ||||||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
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227-0689-00L | System Identification | W | 4 credits | 2V + 1U | ||||||||||||||
227-0689-00 V | System Identification | 2 hrs |
| R. Smith | ||||||||||||||
227-0689-00 U | System Identification | 1 hrs |
| R. Smith | ||||||||||||||
252-0535-00L | Advanced Machine Learning ![]() | W | 10 credits | 3V + 2U + 4A | ||||||||||||||
252-0535-00 V | Advanced Machine Learning Freitag 8-10 HG F1 mit Videoübertragung ins HG F3 | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
252-0535-00 U | Advanced Machine Learning Tutorials and QA sessions: Please attend only the tutorial assigned to you by the first letter of your surname. In case of collisions, please attend via Zoom the last tutorial of the week or watch its recording later. We do not attend requests to change tutorials. QA sessions will happen fully remotely with no recording happening. Wed 14-16 - CAB 61 - surname A-L Fri 14-16 - CAB G1 - surname M-Z (offered also via Zoom to anyone) Thu 17-18 (QA session) - Fully virtual through Zoom All tutorial sessions are identical. | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||
252-3005-00L | Natural Language Processing ![]() ![]() Number of participants limited to 400. | W | 7 credits | 3V + 3U + 1A | ||||||||||||||
252-3005-00 V | Natural Language Processing | 3 hrs |
| R. Cotterell | ||||||||||||||
252-3005-00 U | Natural Language Processing | 3 hrs |
| R. Cotterell | ||||||||||||||
252-3005-00 A | Natural Language Processing | 1 hrs | R. Cotterell | |||||||||||||||
263-2400-00L | Reliable and Trustworthy Artificial Intelligence ![]() | W | 6 credits | 2V + 2U + 1A | ||||||||||||||
263-2400-00 V | Reliable and Trustworthy Artificial Intelligence | 2 hrs |
| M. Vechev | ||||||||||||||
263-2400-00 U | Reliable and Trustworthy Artificial Intelligence Exercise session will start in the second week of the semester. | 2 hrs |
| M. Vechev | ||||||||||||||
263-2400-00 A | Reliable and Trustworthy Artificial Intelligence | 1 hrs | M. Vechev | |||||||||||||||
263-3210-00L | Deep Learning ![]() ![]() Number of participants limited to 320. | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
263-3210-00 V | Deep Learning | 3 hrs |
| T. Hofmann, F. Perez Cruz, N. Perraudin | ||||||||||||||
263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann, F. Perez Cruz, N. Perraudin | ||||||||||||||
263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann, F. Perez Cruz, N. Perraudin | |||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence ![]() ![]() | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence Fr 10-12 und 13-14 im ETA F5 mit Videoübertragung ins ETF E1 | 3 hrs |
| A. Krause | ||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence Q&A session: Monday, 17-18, via zoom | 2 hrs |
| A. Krause | ||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause |
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