Suchergebnis: Lerneinheiten im Herbstsemester 2018

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 Link.

The individual study plan is subject to the tutor's approval.
Vertiefungsfächer
These specialization courses are particularly recommended for the area of "Signal Processing and Machine Learning", but you are free to choose courses from any other field in agreement with your tutor.

A minimum of 40 credits must be obtained from specialization courses during the MSc EEIT.
NummerTitelTypECTSUmfangDozierende
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAs Information W6 KP5GF. K. Gürkaynak, L. Benini
227-0121-00LKommunikationssysteme Information W6 KP4GA. Wittneben
227-0225-00LLinear System TheoryW6 KP5GM. Kamgarpour
227-0417-00LInformation Theory IW6 KP4GA. Lapidoth
227-0477-00LAcoustics IW6 KP4GK. Heutschi
263-5210-00LProbabilistic Artificial Intelligence Information W4 KP2V + 1UA. Krause
401-4619-67LAdvanced Topics in Computational Statistics
Findet dieses Semester nicht statt.
W4 KP2VN. Meinshausen
401-3901-00LMathematical Optimization Information W11 KP4V + 2UR. Weismantel
401-3621-00LFundamentals of Mathematical Statistics Information W10 KP4V + 1US. van de Geer
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