Suchergebnis: Lehrveranstaltungen im Herbstsemester 2019
| Elektrotechnik und Informationstechnologie Master | ||||||||||||||||||
Master-Studium (Studienreglement 2018) | ||||||||||||||||||
Signal Processing and Machine LearningThe core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Signal Processing and Machine Learning ", see https://www.ee.ethz.ch/studies/main-master/areas-of-specialisation.html. The individual study plan is subject to the tutor's approval. | ||||||||||||||||||
KernfächerThese core courses are particularly recommended for the field of "Signal Processing and Machine Learning". You may choose core courses form other fields in agreement with your tutor. A minimum of 24 credits must be obtained from core courses during the MSc EEIT. | ||||||||||||||||||
Advanced Core CoursesAdvanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only. | ||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 227-0423-00L | Neural Network Theory | W | 4 KP | 2V + 1U | ||||||||||||||
| 227-0423-00 V | Neural Network Theory | 2 Std. |
| H. Bölcskei, E. Riegler | ||||||||||||||
| 227-0423-00 U | Neural Network Theory | 1 Std. |
| H. Bölcskei, E. Riegler | ||||||||||||||
| 227-0427-00L | Signal Analysis, Models, and Machine Learning | W | 6 KP | 4G | ||||||||||||||
| 227-0427-00 G | Signal Analysis, Models, and Machine Learning | 4 Std. |
| H.‑A. Loeliger | ||||||||||||||
| 227-0447-00L | Image Analysis and Computer Vision | W | 6 KP | 3V + 1U | ||||||||||||||
| 227-0447-00 V | Image Analysis and Computer Vision | 3 Std. |
| L. Van Gool, O. Göksel, E. Konukoglu | ||||||||||||||
| 227-0447-00 U | Image Analysis and Computer Vision | 1 Std. |
| L. Van Gool, O. Göksel, E. Konukoglu | ||||||||||||||
| 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 | |||||||||||||||
| 263-3210-00L | 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 | |||||||||||||||
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