Search result: Course units in Spring Semester 2022
Electrical Engineering and Information Technology Master  | ||||||
 Master Studies (Programme Regulations 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. | ||||||
| Specialization Courses 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. | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 227-0120-00L | Communication Networks | W | 6 credits | 4G | L. Vanbever | |
| 227-0147-00L | VLSI 2: From Netlist to Complete System on Chip | W | 6 credits | 5G | F. K. Gürkaynak, L. Benini | |
| 227-0418-00L | Algebra and Error Correcting Codes | W | 6 credits | 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 credits | 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 credits | 3G | M. Magno, L. Benini | |
| 227-0424-00L | Model- and Learning-Based Inverse Problems in Imaging | W | 4 credits | 2V + 1P | V. Vishnevskiy | |
| 227-0432-00L | Learning, Classification and Compression | W | 4 credits | 2V + 1U | E. Riegler | |
| 227-0436-00L | Digital Communication and Signal Processing Does not take place this semester. | W | 6 credits | 2V + 2U | A. Wittneben | |
| 227-0478-00L | Acoustics II | W | 6 credits | 4G | K. Heutschi, R. Pieren | |
| 227-0449-00L | Seminar in Biomedical Image Computing | W | 1 credit | 2S | E. Konukoglu, B. Menze, M. A. Reyes Aguirre | |
| 227-0558-00L | Principles of Distributed Computing | W | 7 credits | 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 credits | 3V + 2P | D. Dai, A. Liniger | |
| 227-0562-00L | Robot Learning | W | 6 credits | 2V + 2U | F. Yu | |
| 227-0707-00L | Optimization Methods for Engineers | W | 3 credits | 2G | J. Smajic | |
| 227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 credits | 3G | S. Kozerke, M. Weiger Senften | |
| 227-0973-00L | Translational Neuromodeling | W | 8 credits | 3V + 2U + 1A | K. Stephan | |
| 227-1032-00L | Neuromorphic Engineering II Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 6 credits | 5G | T. Delbrück, G. Indiveri, S.‑C. Liu | |
| 151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | R. D'Andrea | |
| 252-0526-00L | Statistical Learning Theory Does not take place this semester. | W | 8 credits | 3V + 2U + 2A | J. M. Buhmann | |
| 252-0579-00L | 3D Vision | W | 5 credits | 3G + 1A | M. Pollefeys, D. B. Baráth | |
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