Search result: Courses in Autumn Semester 2022
Computer Science Master ![]() | |||||||||||||||
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Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||
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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 | ||||||||||||
252-1414-00L | System Security ![]() | W | 7 credits | 2V + 2U + 2A | |||||||||||
252-1414-00 V | System Security | 2 hrs |
| S. Capkun, S. Shinde | |||||||||||
252-1414-00 U | System Security The exercises begin in the second week of the semester. | 2 hrs |
| S. Capkun, S. Shinde | |||||||||||
252-1414-00 A | System Security | 2 hrs | S. Capkun, S. Shinde | ||||||||||||
263-2800-00L | Design of Parallel and High-Performance Computing ![]() ![]() Number of participants limited to 125. | W | 9 credits | 3V + 2U + 3A | |||||||||||
263-2800-00 V | Design of Parallel and High-Performance Computing | 3 hrs |
| T. Hoefler, M. Püschel | |||||||||||
263-2800-00 U | Design of Parallel and High-Performance Computing | 2 hrs |
| T. Hoefler, M. Püschel | |||||||||||
263-2800-00 A | Design of Parallel and High-Performance Computing Project Work, no fixed presence required. | 3 hrs | T. Hoefler, M. Püschel | ||||||||||||
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 | ||||||||||||
263-3850-00L | Informal Methods ![]() | W | 5 credits | 2G + 2A | |||||||||||
263-3850-00 G | Informal Methods | 2 hrs |
| D. A. Cock | |||||||||||
263-3850-00 A | Informal Methods | 2 hrs | D. A. Cock |
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