Search result: Course units in Autumn Semester 2020

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2018)
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

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.
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAs Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Registration in this class requires the permission of the instructors. Class size will be limited to 16.
Preference is given to students in the MSc EEIT.
W6 credits3GM. Magno, L. Benini
227-0121-00LCommunication Systems Information W6 credits2V + 2UA. Wittneben
227-0225-00LLinear System TheoryW6 credits5GM. Colombino
227-0417-00LInformation Theory IW6 credits4GA. Lapidoth
227-0421-00LLearning in Deep Artificial and Biological Neuronal NetworksW4 credits3GB. Grewe
227-0445-10LMathematical Methods of Signal Processing Information W6 credits4GH. G. Feichtinger
227-0477-00LAcoustics IW6 credits4GK. Heutschi
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2AA. Krause
401-0647-00LIntroduction to Mathematical Optimization Restricted registration - show details W5 credits2V + 1UD. Adjiashvili
401-3054-14LProbabilistic Methods in Combinatorics Information W6 credits2V + 1UB. Sudakov
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1US. van de Geer
401-3901-00LMathematical OptimizationW11 credits4V + 2UR. Zenklusen
401-4619-67LAdvanced Topics in Computational Statistics
Does not take place this semester.
W4 credits2Vnot available
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