Search result: Course units in Autumn Semester 2024

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2018)
Track: Signal Processing and Machine Learning
The core courses and specialisation courses below are a selection for students who wish to specialise 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.
Specialisation Courses
These specialisation 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 specialisation courses during the MSc EEIT.
NumberTitleTypeECTSHoursLecturers
227-0116-00LVLSI 1: HDL Based Design for FPGAs Information W6 credits5GF. K. Gürkaynak
227-0121-00LCommunication Systems Information W6 credits4GC. Studer, S. M. Moser
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Registration in this class requires the permission of the instructors.
Preference is given to students in the MSc EEIT.
W6 credits4GM. Magno
227-0225-00LLinear System TheoryW6 credits5GJ. Lygeros, A. Tsiamis
227-0384-00LUltrasound Fundamentals and Applications in Biology and Medicine
Previously (up to spring 2020) offered as Ultrasound Fundamentals, Imaging, and Medical Applications
W4 credits3GX. L. Dean Ben
227-0417-00LInformation Theory IW6 credits4GA. Lapidoth
227-0421-00LLearning in Deep Artificial and Biological Neuronal NetworksW4 credits3GB. Grewe
227-0477-00LAcoustics I Information W3 credits2GR. Pieren
227-0492-00LStatistical Learning Theory: on the sample complexity problemW1 credit2SS. Mendelson
227-0560-00LComputer Vision and Artificial Intelligence for Autonomous Cars Information Restricted registration - show details
Up until FS2022 offered as Deep Learning for Autonomous Driving
W6 credits3V + 2PC. Sakaridis
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2AA. Krause
263-5300-00LGuarantees for Machine Learning Information Restricted registration - show details
Does not take place this semester.
W7 credits3V + 1U + 2AF. Yang
401-3054-14LProbabilistic Methods in Combinatorics Information W5 credits2V + 1UB. Sudakov
401-3055-64LAlgebraic Methods in Combinatorics
Does not take place this semester.
W5 credits2V + 1Unot available
401-3621-00LFundamentals of Mathematical Statistics Information W9 credits4V + 1UJ. Ziegel
401-3901-00LLinear & Combinatorial Optimization Information W10 credits4V + 2UR. Zenklusen
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