Search result: Courses 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.
227-0423-00LNeural Network Theory Information W4 credits2V + 1U
227-0423-00 VNeural Network Theory2 hrs
Tue10:15-12:00HG F 5 »
H. Bölcskei
227-0423-00 UNeural Network Theory
The exercise will take place online on: Link.
The reserved room is meant for those students who want to follow the course from the campus.
1 hrs
Tue12:15-13:00HG F 5 »
H. Bölcskei
227-0427-00LSignal Analysis, Models, and Machine Learning
This course was replaced by "Introduction to Estimation and Machine Learning" and "Advanced Signal Analysis, Modeling, and Machine Learning".
W6 credits4G
227-0427-00 GSignal Analysis, Models, and Machine Learning
Does not take place this semester.
4 hrsH.‑A. Loeliger
227-0447-00LImage Analysis and Computer Vision Information W6 credits3V + 1U
227-0447-00 VImage Analysis and Computer Vision3 hrs
Thu14:15-17:00HG F 1 »
L. Van Gool, E. Konukoglu, F. Yu
227-0447-00 UImage Analysis and Computer Vision1 hrs
Thu17:15-19:00ETZ D 61.1 »
17:15-19:00ETZ D 61.2 »
L. Van Gool, E. Konukoglu, F. Yu
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F1 mit Videoübertragung ins HG F3
Donnerstag 15-16 ETA F 5 mit Videoübertragung ins ETF E 1
3 hrs
Thu15:15-16:00ETA F 5 »
15:15-16:00ETF E 1 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 320.
W8 credits3V + 2U + 2A
263-3210-00 VDeep Learning3 hrs
Wed13:15-14:00ML D 28 »
Thu14:15-16:00ML D 28 »
F. Perez Cruz, A. Lucchi
263-3210-00 UDeep Learning2 hrs
Mon16:15-18:00HG G 5 »
Wed16:15-18:00ML D 28 »
F. Perez Cruz, A. Lucchi
263-3210-00 ADeep Learning2 hrsF. Perez Cruz, A. Lucchi
401-4944-20LMathematics of Data ScienceW8 credits4G
401-4944-20 GMathematics of Data Science4 hrs
Thu12:15-14:00HG G 3 »
Fri10:15-12:00HG G 5 »
A. Bandeira
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