Suchergebnis: Lerneinheiten im Frühjahrssemester 2020
Elektrotechnik und Informationstechnologie Master  | ||||||
 Master-Studium (Studienreglement 2008) | ||||||
| Fächer der Vertiefung Insgesamt 42 KP müssen im Masterstudium aus Vertiefungsfächern erreicht werden. Der individuelle Studienplan unterliegt der Zustimmung eines Tutors. | ||||||
| Signal Processing and Machine Learning | ||||||
| Empfohlene Fächer | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|---|
| 227-0147-00L | VLSI II: Design of Very Large Scale Integration Circuits | W | 6 KP | 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 KP | 4G | L. Benini | |
| 227-0155-00L | Machine Learning on Microcontrollers  Registration in this class requires the permission of the instructors. Class size will be limited to 30. Preference is given to students in the MSc EEIT. | W | 6 KP | 3G + 2A | M. Magno, L. Benini | |
| 227-0418-00L | Algebra and Error Correcting Codes | W | 6 KP | 4G | H.‑A. Loeliger | |
| 227-0436-00L | Digital Communication and Signal Processing | W | 6 KP | 2V + 2U | A. Wittneben | |
| 227-0478-00L | Acoustics II | W | 6 KP | 4G | K. Heutschi | |
| 227-0560-00L | Deep Learning for Autonomous Driving Registration in this class requires the permission of the instructors. Class size will be limited to 80 students. Preference is given to EEIT, INF and RSC students. | W | 6 KP | 3V + 2P | D. Dai, A. Liniger | |
| 227-0707-00L | Optimization Methods for Engineers | W | 3 KP | 2G | P. Leuchtmann | |
| 227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 KP | 3G | S. Kozerke, M. Weiger Senften | |
| 227-1032-00L | Neuromorphic Engineering II Information für UZH Studierende: Die Lerneinheit kann nur an der ETH belegt werden. Die Belegung des Moduls INI405 ist an der UZH nicht möglich. Beachten Sie die Einschreibungstermine an der ETH für UZH Studierende: Link | W | 6 KP | 5G | S.‑C. Liu, T. Delbrück, G. Indiveri | |
| 151-0566-00L | Recursive Estimation | W | 4 KP | 2V + 1U | R. D'Andrea | |
| 252-0526-00L | Statistical Learning Theory | W | 7 KP | 3V + 2U + 1A | J. M. Buhmann, C. Cotrini Jimenez | |
| 252-0579-00L | 3D Vision | W | 5 KP | 3G + 1A | M. Pollefeys, V. Larsson | |
| 227-0973-00L | Translational Neuromodeling | W | 8 KP | 3V + 2U + 1A | K. Stephan | |
| 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 KP | 2S | M. R. Oswald, Z. Cui | |
| 252-3900-00L | Big Data for Engineers This course is not intended for Computer Science and Data Science MSc students! | W | 6 KP | 2V + 2U + 1A | G. Fourny | |
| 263-5300-00L | Guarantees for Machine Learning | W | 5 KP | 2V + 2A | F. Yang | |
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