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  Maschinelles Lernen in der Regelungstechnik (MLRT)

Lecturer
Dr.-Ing. Andreas Michalka

Details
Vorlesung
Online
3 cred.h, certificate, ECTS studies, ECTS credits: 5, Sprache Deutsch
Zeit: Thu 8:15 - 9:45, 04.019; comments on time and place: Beginn der Vorlesung am Do, 05.11.2020 (08:15 - 09:45 Uhr)/ Die Vorlesung findet digital statt. Mehr Informationen finden Sie rechtzeitig vor Beginn des Semesters unter StudOn.

Fields of study
WPF EEI-MA-AUT ab 1 (ECTS-Credits: 5)
WPF EEI-BA 5-6 (ECTS-Credits: 5)
WF EEI-BA 5-6 (ECTS-Credits: 5)
WF ME-BA ab 6 (ECTS-Credits: 5)
WF ME-MA ab 1 (ECTS-Credits: 5)
WPF ME-BA-MG1 5-6 (ECTS-Credits: 5)
WPF ME-MA-MG1 ab 1 (ECTS-Credits: 5)
WF EEI-MA ab 1 (ECTS-Credits: 5)

ECTS information:
Title:
Machine Learning in Control Engineering

Credits: 5

Additional information
Expected participants: 35
www: https://www.studon.fau.de/crs3233485.html

Assigned lectures
UE ([online]):Übungen Maschinelles Lernen in der Regelungstechnik
Lecturer: M.Sc. Tim Goller
Zeit: Wed 8:15 - 9:45, 04.019; comments on time and place: Beginn der Übung: n.V./ Die Übung findet digital statt. Mehr Informationen finden Sie rechtzeitig vor Beginn des Semesters unter StudOn.
www: https://www.studon.fau.de/crs3233485.html

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2020/2021:
Maschinelles Lernen in der Regelungstechnik (MLRT)

Department: Chair of Automatic Control (Prof. Dr.-Ing. Graichen)
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