392222 Graphdatenbanken und Wissensgraphen in den Lebenswissenschaften (V) (WiSe 2025/2026)
Contents, comment
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The lecture "Graph Databases and Knowledge Graphs in Life Sciences" aims to introduce the emerging field of graph databases and knowledge graphs in the context of life sciences. This interdisciplinary lecture will explore the significance of graph-based data management and analysis techniques in various areas of life sciences, including biology, and medicine. The lecture will focus on how these advanced technologies can effectively integrate, organize, and leverage complex biological data, leading to transformative insights, breakthroughs, and improved decision-making processes.
• Get overview about databases
• Be able to set-up and query a (graph)database
• Get an over about graph algorithms
• Know main biological and clinical databases
Requirements for participation, required level
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Vorkenntnisse in der Programmierung (Python oder Java) sind empfohlen oder müssen im Selbststudium nachgeholt werden.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 12-14 | 13.10.2025-06.02.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-WP-CLS Computational Life Sciences (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-DS Data Science (Basis) | Einführende Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-M-MBT12_a Wahlpflicht 1 Molekulare Biotechnologie Master | - | Graded examination | Student information |
| 39-M-MBT13_a Wahlpflicht 2 Molekulare Biotechnologie Master | - | 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.
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- Last update basic details/teaching staff:
- Friday, May 30, 2025
- Last update times:
- Friday, May 30, 2025
- Last update rooms:
- Friday, May 30, 2025
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
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