Search result: Course units in Spring Semester 2022

Electrical Engineering and Information Technology Master Information
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.
NumberTitleTypeECTSHoursLecturers
227-0120-00LCommunication Networks Information W6 credits4GL. Vanbever
227-0147-00LVLSI 2: From Netlist to Complete System on Chip Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0418-00LAlgebra and Error Correcting Codes Information W6 credits4GH.‑A. Loeliger
227-0150-00LSystems-on-Chip for Data Analytics and Machine Learning
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 credits4GL. Benini
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Number of participants limited to 45.
Registration in this class requires the permission of the instructors.
W6 credits3GM. Magno, L. Benini
227-0424-00LModel- and Learning-Based Inverse Problems in ImagingW4 credits2V + 1PV. Vishnevskiy
227-0432-00LLearning, Classification and Compression Information W4 credits2V + 1UE. Riegler
227-0436-00LDigital Communication and Signal Processing
Does not take place this semester.
W6 credits2V + 2UA. Wittneben
227-0478-00LAcoustics II Information W6 credits4GK. Heutschi, R. Pieren
227-0449-00LSeminar in Biomedical Image ComputingW1 credit2SE. Konukoglu, B. Menze, M. A. Reyes Aguirre
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2AR. Wattenhofer, M. Dory, G. Zuzic
227-0560-00LDeep Learning for Autonomous Driving Information Restricted registration - show details
Number of participants limited to 80.
W6 credits3V + 2PD. Dai, A. Liniger
227-0562-00LRobot Learning Restricted registration - show details W6 credits2V + 2UF. Yu
227-0707-00LOptimization Methods for EngineersW3 credits2GJ. Smajic
227-0948-00LMagnetic Resonance Imaging in MedicineW4 credits3GS. Kozerke, M. Weiger Senften
227-0973-00LTranslational Neuromodeling Restricted registration - show details W8 credits3V + 2U + 1AK. Stephan
227-1032-00LNeuromorphic Engineering II Information
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
W6 credits5GT. Delbrück, G. Indiveri, S.‑C. Liu
151-0566-00LRecursive Estimation Information W4 credits2V + 1UR. D'Andrea
252-0526-00LStatistical Learning Theory Information
Does not take place this semester.
W8 credits3V + 2U + 2AJ. M. Buhmann
252-0579-00L3D Vision Information W5 credits3G + 1AM. Pollefeys, D. B. Baráth
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