392014 Select Topics in Algorithmic Cheminformatics (V) (WiSe 2026/2027)
Contents, comment
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The course will provide the students with an in-depth introduction into select topics in algorithmic cheminformatics, such as atom tracing, molecular symmetries, and pathway analysis. No formal requirements. Prior knowledge can be beneficial, but is not necessary: graph theory, group theory, introductory cheminformatics.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mo | 12-14 | M5-106 | 12.10.2026-05.02.2027 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-NWI Methods for Informatics in the Natural Sciences (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | 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
No eLearning offering available
- Address:
- WS2026_392014@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_745124997@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Tuesday, June 30, 2026
- Last update times:
- Friday, June 19, 2026
- Last update rooms:
- Friday, June 19, 2026
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=745124997
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