Search result: Course units in Autumn Semester 2021

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 Link.

The individual study plan is subject to the tutor's approval.
Core Courses
These core courses are particularly recommended for the field of "Signal Processing and Machine Learning".
You may choose core courses form other fields in agreement with your tutor.

A minimum of 24 credits must be obtained from core courses during the MSc EEIT.
Foundation Core Courses
Fundamentals at bachelor level, for master students who need to strengthen or refresh their background in the area.
NumberTitleTypeECTSHoursLecturers
227-0101-00LDiscrete-Time and Statistical Signal Processing Information W6 credits4GH.‑A. Loeliger
227-0105-00LIntroduction to Estimation and Machine Learning Restricted registration - show details W6 credits4GH.‑A. Loeliger
Advanced Core Courses
Advanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only.
NumberTitleTypeECTSHoursLecturers
227-0423-00LNeural Network Theory Information W4 credits2V + 1UH. Bölcskei
227-0427-00LSignal Analysis, Models, and Machine Learning
Does not take place this semester.
This course was replaced by "Introduction to Estimation and Machine Learning" and "Advanced Signal Analysis, Modeling, and Machine Learning".
W6 credits4GH.‑A. Loeliger
227-0447-00LImage Analysis and Computer Vision Information W6 credits3V + 1UL. Van Gool, E. Konukoglu, F. Yu
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4AJ. M. Buhmann, C. Cotrini Jimenez
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 320.
W8 credits3V + 2U + 2AF. Perez Cruz, A. Lucchi
401-4944-20LMathematics of Data ScienceW8 credits4GA. Bandeira
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, 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 25.
Preference is given to students in the MSc EEIT.
W6 credits3GM. Magno, L. Benini
227-0121-00LCommunication Systems Information W6 credits4GA. Wittneben
227-0225-00LLinear System TheoryW6 credits5GA. Iannelli
227-0417-00LInformation Theory IW6 credits4GA. Lapidoth
227-0421-00LDeep Learning in Artificial and Biological Neuronal NetworksW4 credits3GB. Grewe
227-0477-00LAcoustics IW6 credits4GK. Heutschi
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2AA. Krause
263-5255-00LFoundations of Reinforcement Learning Information Restricted registration - show details
Number of participants limited to 190.

Last cancellation/deregistration date for this graded semester performance: Thursday, 28 October 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail".
W5 credits2V + 2AN. He
401-3055-64LAlgebraic Methods in Combinatorics Information W6 credits2V + 1UB. Sudakov
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1US. van de Geer
401-3901-00LLinear & Combinatorial Optimization Information W11 credits4V + 2UR. Zenklusen
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