Search result: Courses in Spring Semester 2020
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 | |||||||||||||||||||
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227-0147-00L | VLSI II: Design of Very Large Scale Integration Circuits | W | 6 credits | 5G | ||||||||||||||||||||
227-0147-00 G | VLSI II: Design of Very Large Scale Integration Circuits Vorlesung: Di 13-15 Übungen: Mi 9-12 | 5 hrs |
| 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 | ||||||||||||||||||||
227-0150-00 G | Systems-on-chip for Data Analytics and Machine Learning | 4 hrs |
| 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 credits | 3G + 2A | ||||||||||||||||||||
227-0155-00 G | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| 3 hrs |
| M. Magno, L. Benini | ||||||||||||||||||||
227-0155-00 A | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
| 2 hrs | M. Magno, L. Benini | |||||||||||||||||||||
227-0418-00L | Algebra and Error Correcting Codes | W | 6 credits | 4G | ||||||||||||||||||||
227-0418-00 G | Algebra and Error Correcting Codes | 4 hrs |
| H.‑A. Loeliger | ||||||||||||||||||||
227-0436-00L | Digital Communication and Signal Processing | W | 6 credits | 2V + 2U | ||||||||||||||||||||
227-0436-00 V | Digital Communication and Signal Processing | 2 hrs |
| A. Wittneben | ||||||||||||||||||||
227-0436-00 U | Digital Communication and Signal Processing | 2 hrs |
| A. Wittneben | ||||||||||||||||||||
227-0478-00L | Acoustics II | W | 6 credits | 4G | ||||||||||||||||||||
227-0478-00 G | Acoustics II | 4 hrs |
| 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 credits | 3V + 2P | ||||||||||||||||||||
227-0560-00 V | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| 3 hrs |
| D. Dai, A. Liniger | ||||||||||||||||||||
227-0560-00 P | Deep Learning for Autonomous Driving
Permission from lecturers required for all students.
| 2 hrs |
| D. Dai, A. Liniger | ||||||||||||||||||||
227-0707-00L | Optimization Methods for Engineers | W | 3 credits | 2G | ||||||||||||||||||||
227-0707-00 G | Optimization Methods for Engineers | 2 hrs |
| P. Leuchtmann | ||||||||||||||||||||
227-0948-00L | Magnetic Resonance Imaging in Medicine | W | 4 credits | 3G | ||||||||||||||||||||
227-0948-00 G | Magnetic Resonance Imaging in Medicine | 3 hrs |
| 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 | ||||||||||||||||||||
227-1032-00 G | Neuromorphic Engineering II | 5 hrs |
| S.‑C. Liu, T. Delbrück, G. Indiveri | ||||||||||||||||||||
151-0566-00L | Recursive Estimation | W | 4 credits | 2V + 1U | ||||||||||||||||||||
151-0566-00 V | Recursive Estimation The lecture starts in the second week of the Semester. | 2 hrs |
| R. D'Andrea | ||||||||||||||||||||
151-0566-00 U | Recursive Estimation The exercise starts in the second week of the Semester. | 1 hrs |
| R. D'Andrea | ||||||||||||||||||||
252-0526-00L | Statistical Learning Theory | W | 7 credits | 3V + 2U + 1A | ||||||||||||||||||||
252-0526-00 V | Statistical Learning Theory | 3 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
252-0526-00 U | Statistical Learning Theory | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||
252-0526-00 A | Statistical Learning Theory | 1 hrs | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||
252-0579-00L | 3D Vision | W | 5 credits | 3G + 1A | ||||||||||||||||||||
252-0579-00 G | 3D Vision | 3 hrs |
| M. Pollefeys, V. Larsson | ||||||||||||||||||||
252-0579-00 A | 3D Vision | 1 hrs | M. Pollefeys, V. Larsson | |||||||||||||||||||||
227-0973-00L | Translational Neuromodeling | W | 8 credits | 3V + 2U + 1A | ||||||||||||||||||||
227-0973-00 V | Translational Neuromodeling | 3 hrs |
| K. Stephan | ||||||||||||||||||||
227-0973-00 U | Translational Neuromodeling | 2 hrs |
| K. Stephan | ||||||||||||||||||||
227-0973-00 A | Translational Neuromodeling No presence required. Creative work on a self-chosen project outside the regular weekly exercises. | 1 hrs | 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 | ||||||||||||||||||||
263-5904-00 S | Deep Learning for Computer Vision: Seminal Work | 2 hrs |
| 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 credits | 2V + 2U + 1A | ||||||||||||||||||||
252-3900-00 V | Big Data for Engineers | 2 hrs |
| G. Fourny | ||||||||||||||||||||
252-3900-00 U | Big Data for Engineers Groups are selected in myStudies. | 2 hrs |
| G. Fourny | ||||||||||||||||||||
252-3900-00 A | Big Data for Engineers | 1 hrs | G. Fourny | |||||||||||||||||||||
263-5300-00L | Guarantees for Machine Learning | W | 5 credits | 2V + 2A | ||||||||||||||||||||
263-5300-00 V | Guarantees for Machine Learning Special selection process. Preference is given to Masters and Doctorate students. If need be other criteria are degree program and previous courses taken. | 2 hrs |
| F. Yang | ||||||||||||||||||||
263-5300-00 A | Guarantees for Machine Learning | 2 hrs | F. Yang |
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