Exercise Machine Learning for Regulatory Genomics (IN2393)
Course 0000003251 in SS 2022
General Data
| Course Type | exercise |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Informatics 29 - Chair of Computational Molecular Medicine (Prof. Gagneur) |
| Lecturers |
Julien Gagneur Matthias Heinig |
| Dates |
Tue, 15:30–17:00, MI 00.08.038 |
Assignment to Modules
-
IN2393: Machine Learning for Regulatory Genomics / Machine Learning for Regulatory Genomics
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 | |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2024 | Exercise Machine Learning for Regulatory Genomics (IN2393) | Gagneur, J. Heinig, M. |
Tue, 15:30–17:00, MI 00.08.038 |
| SS 2023 | Exercise Machine Learning for Regulatory Genomics (IN2393) | Gagneur, J. Heinig, M. |
Tue, 15:30–17:00, MI 00.08.038 |
| SS 2021 | Exercise Machine Learning for Regulatory Genomics (IN2393) | Gagneur, J. Heinig, M. |
Tue, 15:30–17:00, virtuell |