Suchergebnis: Lerneinheiten im Herbstsemester 2019

Elektrotechnik und Informationstechnologie Master Information
Master-Studium (Studienreglement 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 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
Advanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only.
NummerTitelTypECTSUmfangDozierende
227-0423-00LNeural Network TheoryW4 KP2V + 1UH. Bölcskei, E. Riegler
227-0427-00LSignal Analysis, Models, and Machine LearningW6 KP4GH.‑A. Loeliger
227-0447-00LImage Analysis and Computer Vision Information W6 KP3V + 1UL. Van Gool, O. Göksel, E. Konukoglu
252-0535-00LAdvanced Machine Learning Information W8 KP3V + 2U + 2AJ. M. Buhmann
263-3210-00LDeep Learning Information W5 KP2V + 1U + 1AT. Hofmann
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