Suchergebnis: Lehrveranstaltungen im Herbstsemester 2017
Informatik Master | |||||||||||||||
Vertiefungsfächer | |||||||||||||||
Vertiefung in Visual Computing | |||||||||||||||
Wahlfächer der Vertiefung in Visual Computing | |||||||||||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
252-0543-01L | Computer Graphics | W | 6 KP | 3V + 2U | |||||||||||
252-0543-01 V | Computer Graphics | 3 Std. |
| M. Gross, J. Novak | |||||||||||
252-0543-01 U | Computer Graphics | 2 Std. |
| M. Gross, J. Novak | |||||||||||
252-0546-00L | Physically-Based Simulation in Computer Graphics | W | 4 KP | 2V + 1U | |||||||||||
252-0546-00 V | Physically-Based Simulation in Computer Graphics | 2 Std. |
| M. Bächer, V. da Costa de Azevedo | |||||||||||
252-0546-00 U | Physically-Based Simulation in Computer Graphics | 1 Std. |
| M. Bächer, V. da Costa de Azevedo | |||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence | W | 4 KP | 2V + 1U | |||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence | 2 Std. |
| M. Vechev | |||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence | 1 Std. |
| M. Vechev | |||||||||||
263-3300-00L | Data Science Lab Maximale Teilnehmerzahl: 30. Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 Kreditpunkte über Laboratorien erarbeitet werden. Weitere Laboratorien werden auf dem Beiblatt aufgeführt. | W | 10 KP | 9P | |||||||||||
263-3300-00 P | Data Science Lab | 9 Std. |
| C. Zhang, K. Schawinski | |||||||||||
263-5200-00L | Data Mining: Learning from Large Data Sets | W | 4 KP | 2V + 1U | |||||||||||
263-5200-00 V | Data Mining: Learning from Large Data Sets | 2 Std. |
| A. Krause, Y. Levy | |||||||||||
263-5200-00 U | Data Mining: Learning from Large Data Sets | 1 Std. |
| A. Krause, Y. Levy | |||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 4 KP | 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 Std. |
| A. Krause | |||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 1 Std. |
| A. Krause | |||||||||||
263-5701-00L | Visualization | W | 4 KP | 2V + 1U | |||||||||||
263-5701-00 V | Visualization | 2 Std. |
| T. Günther | |||||||||||
263-5701-00 U | Visualization | 1 Std. |
| T. Günther |
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