Search result: Course units in Spring Semester 2019
|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.
|227-0120-00L||Communication Networks||W||6 credits||4G||L. Vanbever|
|227-0147-00L||VLSI II: Design of Very Large Scale Integration Circuits||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 |
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|
|227-0384-00L||Ultrasound Fundamentals, Imaging, and Medical Applications |
Number of participants limited to 60.
|W||4 credits||3G||O. Göksel|
|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|
|227-0558-00L||Principles of Distributed Computing||W||6 credits||2V + 2U + 1A||R. Wattenhofer, M. Ghaffari|
|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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