Exercise to Essential Machine Learning for Physicists
Course 0000003811 in WS 2022/3
General Data
| Course Type | exercise |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Department of Physics |
| Lecturers |
Johannes Hessler Responsible/Coordination: Zinonas Zinonos |
| Dates |
Wed, 14:00–16:00, PH HS3 and 2 singular or moved dates |
Assignment to Modules
-
NAT3009: Grundlagen des "Machine Learning" für die Physik / Essential Machine Learning for Physicists
This module is included in the following catalogs:- Specific catalogue of special courses for condensed matter physics
- Specific catalogue of special courses for nuclear, particle, and astrophysics
- Specific catalogue of special courses for Biophysics
- Specific catalogue of special courses for Applied and Engineering Physics
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 | |
|---|---|
| Links |
TUMonline entry
TUMonline registration |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2023/4 | Exercise to Essential Machine Learning for Physicists |
Fuchs, R.
Responsible/Coordination: Zinonos, Z. |
Wed, 14:00–16:00, PH HS3 |