Advanced Deep Learning for Physics (IN2298)
Course 0000003205 in SS 2022
General Data
Course Type | lecture |
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Semester Weekly Hours | 4 SWS |
Organisational Unit | Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann) |
Lecturers |
Liwei Chen Philipp Holl Björn List Susanne Weitz Responsible/Coordination: Nils Thürey |
Dates |
Tue, 16:00–18:00, MI HS2 Fri, 08:00–10:00, MI HS2 |
Assignment to Modules
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IN2298: Advanced Deep Learning for Physics / Advanced Deep Learning for Physics
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | |
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Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
---|---|---|---|
SS 2023 | Advanced Deep Learning for Physics (IN2298) |
Brahmachary, S.
Chen, L.
Holl, P.
List, B.
Szep, M. … (total 6)
Responsible/Coordination: Thürey, N. |
Tue, 16:00–18:00, MI HS2 Fri, 08:00–10:00, MI HS2 |
SS 2018 | Advanced Deep Learning for Physics (IN2298) | Thürey, N. | |
SS 2017 | Deep Learning and Numerical Simulations for Visual Effects (IN2298) | Thürey, N. | |
SS 2016 | Simulation for Visual Effects (IN2298) | ||
SS 2015 | Simulation for Visual Effects (IN2298) |