Seminars

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Lehrveranstaltungen im Sommersemester 2023

Titel	Working Group	Veranstalter
Deep Learning for Inverse Problems	WG Industrial Mathematics	Dr. Tobias Kluth, Dr. Pascal Fernsel
Digital Optimal Control and Optimal Feedback Control	WG Optimization and Optimal Control	Prof. Dr. Christof Büskens
Funktionalanalysis	WG Modelling and Scientific Computing	Prof. Dr. Andreas Rademacher
Graphentheorie	WG Discrete Optimization	Prof. Dr. Daniel Schmand
High-Performance Visualization	WG High-Performance Visualization	Prof. Dr. Andreas Gerndt
Mathematical Foundations of Machine Learning	WG Industrial Mathematics	Dr. Matthias Beckmann, Prof. Dr. Dr. h.c. Peter Maaß
Mathematics of Quantum Computing	WG Optimization and Optimal Control	Dr. Matthias Knauer
Mathematik 1b für Wirtschaftsingenieure		Dr. Ronald Stöver
Mathematik 2b für Produktionstechniker	WG Optimization and Optimal Control	Dr. Matthias Knauer
Nonlinear Inverse Problems	WG Industrial Mathematics	Dr. Pascal Fernsel, Dr. Tobias Kluth
Numerik 2	WG Numerics of PDEs	Prof. Dr. Alfred Schmidt
Optimal Control in Function Spaces	WG Modelling and Scientific Computing	Prof. Dr. Andreas Rademacher
Scientific Programming and Advanced Numerical Methods – An Introduction with Case Studies	WG Numerics of PDEs	Prof. Dr. Alfred Schmidt, Prof. Dr. Stephan Frickenhaus

Titel	Working Group	Veranstalter
Advanced Topics in Inverse Problems	WG Industrial Mathematics	Dr. Tobias Kluth
Mathematical Foundations of AI	WG Industrial Mathematics	Dr. Sören Dittmer, Prof. Dr. Dr. h.c. Peter Maaß
Modeling Project (Part 1)	WG Modelling and Scientific Computing	Prof. Dr. Andreas Rademacher
Proseminar Technomathematik		Dr. Ronald Stöver