Search result: Course units in Spring Semester 2022
Electrical Engineering and Information Technology Master  | ||||||
 Master Studies (Programme Regulations 2008) | ||||||
| Major Courses A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval. | ||||||
| Signal Processing and Machine Learning | ||||||
| Recommended Subjects | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | R. D'Andrea | |
| 227-0147-00L | VLSI 2: From Netlist to Complete System on Chip | W | 6 credits | 5G | F. K. Gürkaynak, L. Benini | |
| 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 | |
| 227-0418-00L | Algebra and Error Correcting Codes | W | 6 credits | 4G | H.‑A. Loeliger | |
| 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 | |
| 227-0560-00L | 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 | |
| 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 | |
| 252-3900-00L | Big Data for Engineers This course is not intended for Computer Science and Data Science MSc students! | W | 6 credits | 2V + 2U + 1A | G. Fourny | |
| 263-5300-00L | Guarantees for Machine Learning Does not take place this semester. Number of participants limited to 30. The course will take place next autumn semester 2022. | W | 7 credits | 3G + 3A | F. Yang | |
| 263-5904-00L | Deep Learning for Computer Vision: Seminal Work Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 2 credits | 2S | I. Armeni | |
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