Suchergebnis: Lehrveranstaltungen im Herbstsemester 2019
Informatik Master ![]() | |||||||||||||||||||||
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Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||||||||
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252-0535-00L | Advanced Machine Learning ![]() | W | 8 KP | 3V + 2U + 2A | |||||||||||||||||
252-0535-00 V | Advanced Machine Learning Vorlesung: Donnerstag im ML D 28 mit Videoübertragung im ML E 12 Freitag im HG F 1 mit Videoübertragung im HG F 3 | 3 Std. |
| J. M. Buhmann | |||||||||||||||||
252-0535-00 U | Advanced Machine Learning | 2 Std. |
| J. M. Buhmann | |||||||||||||||||
252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 2 Std. | J. M. Buhmann | ||||||||||||||||||
263-3010-00L | Big Data ![]() ![]() | W | 8 KP | 3V + 2U + 2A | |||||||||||||||||
263-3010-00 V | Big Data | 3 Std. |
| G. Fourny | |||||||||||||||||
263-3010-00 U | Big Data Gruppeneinteilung erfolgt über myStudies. | 2 Std. |
| G. Fourny | |||||||||||||||||
263-3010-00 A | Big Data Individual work to get hands-on experience with the technologies covered, no fixed presence required. | 2 Std. | G. Fourny | ||||||||||||||||||
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Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||||||||
263-3210-00L | Deep Learning ![]() | W | 5 KP | 2V + 1U + 1A | |||||||||||||||||
263-3210-00 V | Deep Learning Vorlesung im HG F7 mit Videoübertragung im HG F5. | 2 Std. |
| T. Hofmann | |||||||||||||||||
263-3210-00 U | Deep Learning | 1 Std. |
| T. Hofmann | |||||||||||||||||
263-3210-00 A | Deep Learning | 1 Std. | T. Hofmann | ||||||||||||||||||
263-2400-00L | Reliable and Interpretable Artificial Intelligence ![]() | W | 5 KP | 2V + 1U + 1A | |||||||||||||||||
263-2400-00 V | Reliable and Interpretable Artificial Intelligence | 2 Std. |
| M. Vechev | |||||||||||||||||
263-2400-00 U | Reliable and Interpretable Artificial Intelligence No exercise session in the first semester week. Exercise session will start in the second week of the semester. | 1 Std. |
| M. Vechev | |||||||||||||||||
263-2400-00 A | Reliable and Interpretable Artificial Intelligence | 1 Std. | M. Vechev | ||||||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence ![]() ![]() | W | 5 KP | 2V + 1U + 1A | |||||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence Vorlesung im HG E 7 mit Videoübertragung im HG E 3. | 2 Std. |
| A. Krause | |||||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 1 Std. |
| A. Krause | |||||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 1 Std. | A. Krause | ||||||||||||||||||
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Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||||||||
252-5051-00L | Advanced Topics in Machine Learning ![]() ![]() Number of participants limited to 40. The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | |||||||||||||||||
252-5051-00 S | Advanced Topics in Machine Learning
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| J. M. Buhmann, A. Krause, G. Rätsch | |||||||||||||||||
263-3504-00L | Hardware Acceleration for Data Processing ![]() The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 KP | 2S | |||||||||||||||||
263-3504-00 S | Hardware Acceleration for Data Processing | 2 Std. |
| G. Alonso, C. Zhang |
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