Vorlesungsverzeichnis

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Start > Masterprogramm Management (M.A./M.Sc.) -> Management & Data Science -> Special Topics in Data Science

Lehrveranstaltungen

Deep Learning (Vorlesung)

Dozent/in: Ulf Brefeld

Termin:
 wöchentlich | Dienstag | 10:15 - 11:45 | 12.10.2020 - 29.01.2021 | C 14.203 Seminarraum

Inhalt: This course deals with deep neural networks. We begin with a brief history of neural networks and then consider state-of-the-art networks. We cover convolutions, LSTMs, reinforcement learning, GANs, etc.

Numerical Algorithms and Methods to Identify Dynamical Systems for Data Analysis and Reconciliation (Vorlesung)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Dienstag | 16:15 - 17:45 | 12.10.2020 - 29.01.2021 | Online-Veranstaltung

Inhalt: The course is structured in three parts: - Recursive Least Squares Methods System Identification - Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters - Introduction to Wavelets packets: Data Analysis and Reconciliation The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.