Search result: Course units in Spring Semester 2019
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 | |
---|---|---|---|---|---|---|
227-0147-00L | VLSI II: Design of Very Large Scale Integration Circuits | 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 Registration in this class requires the permission of the instructors. Class size will be limited to 25. Preference is given to students in the MSc EEIT. | W | 3 credits | 2G | M. Magno, L. Benini | |
227-0418-00L | Algebra and Error Correcting Codes | W | 6 credits | 4G | H.‑A. Loeliger | |
227-0436-00L | Digital Communication and Signal Processing | W | 6 credits | 2V + 2U | A. Wittneben | |
227-0478-00L | Acoustics II | W | 6 credits | 4G | K. Heutschi | |
227-0707-00L | Optimization Methods for Engineers | W | 3 credits | 2G | P. Leuchtmann | |
227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 credits | 3G | S. Kozerke, M. Weiger Senften | |
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 | W | 7 credits | 3V + 2U + 1A | J. M. Buhmann | |
252-0579-00L | 3D Vision | W | 4 credits | 3G | M. Pollefeys, V. Larsson | |
227-0973-00L | Translational Neuromodeling | W | 8 credits | 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 credits | 2S | Z. Cui | |
252-3900-00L | Big Data for Engineers This course is not intended for Computer Science and Data Science students! | W | 6 credits | 2V + 2U + 1A | G. Fourny |
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