Physics-Informed Machine Learning - Exercises
Course 0000005559 in SS 2023
General Data
Course Type | exercise |
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Semester Weekly Hours | 1 SWS |
Organisational Unit | Assistant Professorship of Multiscale Modeling of Fluid Materials (Prof. Zavadlav) |
Lecturers |
Sebastien Röcken Responsible/Coordination: Julija Zavadlav Koller |
Dates |
Thu, 12:00–13:00, MW 1050 |
Assignment to Modules
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MW2450: Physikbasiertes Machine Learning / Physics-Informed Machine Learning
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 |
Course documents E-Learning course (e. g. Moodle) Additional information TUMonline entry |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
---|---|---|---|
SS 2022 | Physics-Informed Machine Learning - Exercises | Röcken, S. |
Thu, 12:00–13:00, MW 1050 |
SS 2021 | Physics-Informed Machine Learning - Exercises | Röcken, S. | |
SS 2020 | Physics-Informed Machine Learning - Exercises |