Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2022

Elektrotechnik und Informationstechnologie Master Information
Master-Studium (Studienreglement 2018)
Signal Processing and Machine Learning
The core courses and specialization courses below are a selection for students who wish to specialize 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.
Kernfächer
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
NummerTitelTypECTSUmfangDozierende
227-0427-10LAdvanced Signal Analysis, Modeling, and Machine Learning Information W6 KP4G
227-0427-10 GAdvanced Signal Analysis, Modeling, and Machine Learning4 Std.
Fr14:15-18:00ML F 39 »
H.‑A. Loeliger
227-0434-10LMathematics of Information Information W8 KP3V + 2U + 2A
227-0434-10 VMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
3 Std.
Do09:15-12:00ML F 36 »
H. Bölcskei
227-0434-10 UMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
2 Std.
Mo14:15-16:00ML E 12 »
H. Bölcskei
227-0434-10 AMathematics of Information2 Std.H. Bölcskei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 KP2G
227-0391-00 GMedical Image Analysis2 Std.
Di14:15-16:00CAB G 11 »
E. Konukoglu, M. A. Reyes Aguirre
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