392135 Interpretability and Causal Inference for ML in Biology (S) (WiSe 2021/2022)
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In this course, we will learn about the importance of interpretability, causal inference for machine learning techniques applied to biology. Additionally, we will also discuss state of the art papers about these topics via paper readings, presentations and technical reports.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
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.
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- WS2021_392135@ekvv.uni-bielefeld.de
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- 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
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