Search result: Courses in Autumn Semester 2017
Computer Science Master | |||||||||||||||
Focus Courses | |||||||||||||||
Focus Courses in Visual Computing | |||||||||||||||
Focus Elective Courses Visual Computing | |||||||||||||||
Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
252-0543-01L | Computer Graphics | W | 6 credits | 3V + 2U | |||||||||||
252-0543-01 V | Computer Graphics | 3 hrs |
| M. Gross, J. Novak | |||||||||||
252-0543-01 U | Computer Graphics | 2 hrs |
| M. Gross, J. Novak | |||||||||||
252-0546-00L | Physically-Based Simulation in Computer Graphics | W | 4 credits | 2V + 1U | |||||||||||
252-0546-00 V | Physically-Based Simulation in Computer Graphics | 2 hrs |
| M. Bächer, V. da Costa de Azevedo | |||||||||||
252-0546-00 U | Physically-Based Simulation in Computer Graphics | 1 hrs |
| M. Bächer, V. da Costa de Azevedo | |||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 4 credits | 2V + 1U | |||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence | 2 hrs |
| M. Vechev | |||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence | 1 hrs |
| M. Vechev | |||||||||||
263-3300-00L | Data Science Lab Number of participants limited to 30. In the Master Programme max. 10 credits can be accounted by Labs on top of the Interfocus Courses. Additional Labs will be listed on the Addendum. | W | 10 credits | 9P | |||||||||||
263-3300-00 P | Data Science Lab | 9 hrs |
| C. Zhang, K. Schawinski | |||||||||||
263-5200-00L | Data Mining: Learning from Large Data Sets | W | 4 credits | 2V + 1U | |||||||||||
263-5200-00 V | Data Mining: Learning from Large Data Sets | 2 hrs |
| A. Krause, Y. Levy | |||||||||||
263-5200-00 U | Data Mining: Learning from Large Data Sets | 1 hrs |
| A. Krause, Y. Levy | |||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 4 credits | 2V + 1U | |||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence Am 22. und 29. September findet die Vorlesung in HG E 7 statt! On September 22 and 29., the lecture will take place in room HG E 7. Ab dem 06. Oktober findet die Vorlesung im HG E 7 statt mit Videoübertragung im HG E 3. | 2 hrs |
| A. Krause | |||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 1 hrs |
| A. Krause | |||||||||||
263-5701-00L | Visualization | W | 4 credits | 2V + 1U | |||||||||||
263-5701-00 V | Visualization | 2 hrs |
| T. Günther | |||||||||||
263-5701-00 U | Visualization | 1 hrs |
| T. Günther |
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