Suchergebnis: Lerneinheiten im Herbstsemester 2021
Elektrotechnik und Informationstechnologie Master  | ||||||
 Master-Studium (Studienreglement 2018) | ||||||
| Signal Processing and Machine Learning The 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. | ||||||
| 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 Advanced 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 | H. Bölcskei | |
| 227-0427-00L | Signal Analysis, Models, and Machine Learning Findet dieses Semester nicht statt. This course was replaced by "Introduction to Estimation and Machine Learning" and "Advanced Signal Analysis, Modeling, and Machine Learning". | W | 6 KP | 4G | H.‑A. Loeliger | |
| 227-0447-00L | Image Analysis and Computer Vision | W | 6 KP | 3V + 1U | L. Van Gool, E. Konukoglu, F. Yu | |
| 252-0535-00L | Advanced Machine Learning | W | 10 KP | 3V + 2U + 4A | J. M. Buhmann, C. Cotrini Jimenez | |
| 263-3210-00L | Deep Learning  Number of participants limited to 320. | W | 8 KP | 3V + 2U + 2A | F. Perez Cruz, A. Lucchi | |
| 401-4944-20L | Mathematics of Data Science | W | 8 KP | 4G | A. Sousa Bandeira | |
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