392131 Machine and Deep Learning in Biology (S) (WiSe 2021/2022)
Contents, comment
-
This course will go over the state of the art techniques in applying machine learning to various fields of biology including, but not limited to: regulatory genomics, single cell biology, network biology, etc.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Fr | 12-14 | ONLINE | 11.10.2021-04.02.2022 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-AB Algorithmen der Bioinformatik | Ausgewähltes Seminar zu Algorithmen der Bioinformatik | Study requirement
|
Student information |
| 39-Inf-SAB_a Spezielle Algorithmen der Bioinformatik | Ausgewähltes Seminar zu Spezielle Algorithmen der Bioinformatik | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
No more requirements
- E-Learning Space
- E-Learning Space
- Address:
- WS2021_392131@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_298523466@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Thursday, February 23, 2023
- Last update times:
- Thursday, July 15, 2021
- Last update rooms:
- Thursday, July 15, 2021
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=298523466
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 298523466
Top of page