392231 Deep Learning for Biology (S) (WiSe 2020/2021)
Contents, comment
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Deep Learning is becoming a popular method of choice in many areas of research where large complex data is gathered and analyzed. Recent advances in laboratory equipment has provided the biological sciences with a range of high-throughput technologies that generate vast amounts of data which are particularly amenable to Deep Learning.
In this seminar we will discuss applications of Deep Learning in the biological sciences. After a brief introduction you will work in groups to study a selected topic which is then presented in a joint talk.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-AB Algorithms in Bioinformatics Algorithmen der Bioinformatik | Ausgewähltes Seminar zu Algorithmen der Bioinformatik | Study requirement
|
Student information |
| 39-Inf-SAB_a Special Algorithms in Bioinformatics 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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |
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- Tuesday, June 23, 2020
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- Friday, October 2, 2020
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- Friday, October 2, 2020
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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