392222 Graphdatenbanken und Wissensgraphen in den Lebenswissenschaften (V) (WiSe 2024/2025)
Contents, comment
-
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
-
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 | V4-119 | 07.10.2024-31.01.2025
not on: 12/26/24 / 1/2/25 |
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.
- E-Learning Space
- E-Learning Space
- Registered number: 5
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2024_392222@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_475966602@ekvv.uni-bielefeld.de
- Coverage:
- 5 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Tuesday, June 4, 2024
- Last update times:
- Tuesday, November 19, 2024
- Last update rooms:
- Tuesday, November 19, 2024
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 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=475966602
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 475966602