Suchergebnis: Lerneinheiten im Frühjahrssemester 2022
Elektrotechnik und Informationstechnologie Master  | ||||||
 Master-Studium (Studienreglement 2018) | ||||||
| Signal Processing and Machine Learning The core courses and specialization courses below are a selection for students who wish to specialize 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. | ||||||
| Kernfächer These 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 Courses | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|---|
| 227-0427-10L | Advanced Signal Analysis, Modeling, and Machine Learning | W | 6 KP | 4G | H.‑A. Loeliger | |
| 227-0434-10L | Mathematics of Information | W | 8 KP | 3V + 2U + 2A | H. Bölcskei | |
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, M. A. Reyes Aguirre | |
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