Suchergebnis: Lerneinheiten 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.
Foundation Core Courses
NummerTitelTypECTSUmfangDozierende
252-0220-00LIntroduction to Machine Learning Information Belegung eingeschränkt - Details anzeigen
Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch
W8 KP4V + 2U + 1AA. Krause, F. Yang
Advanced Core Courses
NummerTitelTypECTSUmfangDozierende
227-0427-10LAdvanced Signal Analysis, Modeling, and Machine Learning Information W6 KP4GH.‑A. Loeliger
227-0434-10LMathematics of Information Information W8 KP3V + 2U + 2AH. Bölcskei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 KP2GE. Konukoglu, M. A. Reyes Aguirre
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