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.
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
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