Suchergebnis: Lerneinheiten im Herbstsemester 2020

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 Link.

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 Theory Information W4 KP2V + 1UH. Bölcskei
227-0427-00LSignal Analysis, Models, and Machine Learning
Findet dieses Semester nicht statt.
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).
W6 KP4GH.‑A. Loeliger
227-0447-00LImage Analysis and Computer Vision Information W6 KP3V + 1UL. Van Gool, E. Konukoglu, F. Yu
252-0535-00LAdvanced Machine Learning Information W10 KP3V + 2U + 4AJ. M. Buhmann, C. Cotrini Jimenez
263-3210-00LDeep Learning Information Belegung eingeschränkt - Details anzeigen W8 KP3V + 2U + 2AT. Hofmann
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