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. | ||||||
| Foundation Core Courses | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|---|
| 252-0220-00L | Introduction to Machine Learning  Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch | W | 8 KP | 4V + 2U + 1A | A. Krause, F. Yang | |
| 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 | |
| Vertiefungsfächer These specialization courses are particularly recommended for the area of "Signal Processing and Machine Learning", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the MSc EEIT. | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
| 227-0120-00L | Communication Networks | W | 6 KP | 4G | L. Vanbever | |
| 227-0147-00L | VLSI 2: From Netlist to Complete System on Chip | W | 6 KP | 5G | F. K. Gürkaynak, L. Benini | |
| 227-0418-00L | Algebra and Error Correcting Codes | W | 6 KP | 4G | H.‑A. Loeliger | |
| 227-0150-00L | Systems-on-Chip for Data Analytics and Machine Learning Previously "Energy-Efficient Parallel Computing Systems for Data Analytics" | W | 6 KP | 4G | L. Benini | |
| 227-0155-00L | Machine Learning on Microcontrollers Number of participants limited to 45. Registration in this class requires the permission of the instructors. | W | 6 KP | 3G | M. Magno, L. Benini | |
| 227-0424-00L | Model- and Learning-Based Inverse Problems in Imaging | W | 4 KP | 2V + 1P | V. Vishnevskiy | |
| 227-0432-00L | Learning, Classification and Compression | W | 4 KP | 2V + 1U | E. Riegler | |
| 227-0436-00L | Digital Communication and Signal Processing Findet dieses Semester nicht statt. | W | 6 KP | 2V + 2U | A. Wittneben | |
| 227-0478-00L | Acoustics II | W | 6 KP | 4G | K. Heutschi, R. Pieren | |
| 227-0449-00L | Seminar in Biomedical Image Computing | W | 1 KP | 2S | E. Konukoglu, B. Menze, M. A. Reyes Aguirre | |
| 227-0558-00L | Principles of Distributed Computing | W | 7 KP | 2V + 2U + 2A | R. Wattenhofer, M. Dory, G. Zuzic | |
| 227-0560-00L | Deep Learning for Autonomous Driving Number of participants limited to 80. | W | 6 KP | 3V + 2P | D. Dai, A. Liniger | |
| 227-0562-00L | Robot Learning | W | 6 KP | 2V + 2U | F. Yu | |
| 227-0707-00L | Optimization Methods for Engineers | W | 3 KP | 2G | J. Smajic | |
| 227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 KP | 3G | S. Kozerke, M. Weiger Senften | |
| 227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | K. Stephan | |
Seite
1
von
2
Alle