Suchergebnis: Lehrveranstaltungen 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 | |||||
227-0427-10 G | Advanced Signal Analysis, Modeling, and Machine Learning | 4 Std. |
| H.‑A. Loeliger | |||||
227-0434-10L | Mathematics of Information | W | 8 KP | 3V + 2U + 2A | |||||
227-0434-10 V | Mathematics of Information Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden. | 3 Std. |
| H. Bölcskei | |||||
227-0434-10 U | Mathematics of Information Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden. | 2 Std. |
| H. Bölcskei | |||||
227-0434-10 A | Mathematics of Information | 2 Std. | H. Bölcskei | ||||||
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | |||||
227-0391-00 G | Medical Image Analysis | 2 Std. |
| E. Konukoglu, M. A. Reyes Aguirre |
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