Applied Multi-Messenger Astronomy 2
Angewandte Multi-Messenger-Astronomie 2
Course 0000000115 in SS 2023
General Data
Course Type | lecture with integrated exercises |
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Semester Weekly Hours | 4 SWS |
Organisational Unit | Experimental Physics with Cosmic Particles |
Lecturers |
Elisa Resconi Assistants: Andrii Terliuk Martin Wolf |
Dates |
Fri, 10:00–13:45, PH 1151 |
Assignment to Modules
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PH2282: Angewandte Multi-Messenger-Astronomie 2 (Statistische und Machine-Learning-Methoden in Teilchen- und Astrophysik) / Applied Multi-Messenger Astronomy 2 (Statistical and Machine Learning Methods in Particle and Astrophysics)
This module is included in the following catalogs:- Specific catalogue of special courses for nuclear, particle, and astrophysics
- Complementary catalogue of special courses for condensed matter physics
- Complementary catalogue of special courses for Biophysics
- Complementary 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 | |
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Links |
E-Learning course (e. g. Moodle) TUMonline entry TUMonline registration |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
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SS 2022 | Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics |
Resconi, E.
Assistants: Eller, P.Haack, C.Wolf, M. |
Fri, 10:00–13:45, PH 1151 |
SS 2021 | Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics |
Resconi, E.
Assistants: Haack, C. |
|
SS 2020 | Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics |
Resconi, E.
Assistants: Haack, C.Vaudrevange, P.Wolf, M. |
Fri, 10:00–13:45, PH 1161 |
SS 2019 | Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics |
Resconi, E.
Assistants: Agostini, M.Niederhausen, H.Vaudrevange, P. |
Fri, 10:00–13:45, PH 1161 |