392232 Advanced Artificial Intelligence in Biomedicine (S) (WiSe 2024/2025)

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Subject assignments

Module Course Requirements  
39-Inf-BDS Biomedical Data Science for Modern Healthcare Technology Ausgewähltes Seminar oder Projekt Study requirement
Student information
39-Inf-WP-CLS-x Computational Life Sciences (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
- Graded examination Student information
39-Inf-WP-DS-x Data Science (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
- Graded examination Student information
39-M-Inf-ABDA Advanced Big Data Analytics / Big Data Machine Learning Machine Learning and AI in Advanced Big Data Analytics Ungraded examination
Student information
39-M-Inf-ABDA_a Advanced Big Data Analytics / Big Data Machine Learning Machine Learning and AI in Advanced Big Data Analytics Graded examination
Student information
39-M-Inf-INT-app Applied Interaction Technology Applied Interaction Technology: Seminar Student information
- Graded examination Student information
39-M-Inf-INT-app-foc Applied Interaction Technology (focus) Applied Interaction Technology (focus): Seminar Student information
- Ungraded examination Student information

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Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

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Registered number: 37
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_392232@ekvv.uni-bielefeld.de
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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_479123543@ekvv.uni-bielefeld.de
Coverage:
36 Students to be reached directly via email
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Number of entries 24
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Last update basic details/teaching staff:
Tuesday, June 17, 2025 
Last update times:
Monday, July 22, 2024 
Last update rooms:
Monday, July 22, 2024 
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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ID
479123543