392117 Klausur: Multimodal Behavior Processing: Affective Signals - 1. Termin (Kl) (WiSe 2025/2026)

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Teaching staff

Deadlines

Registration via the electronic course catalogue (eKVV) by 2/3/26

Examinations ( Calendar view )

Date Time Format / Room Comment about examination
Tuesday, February 10, 2026 10-12 X-E0-001

Subject assignments

Module Course Requirements  
39-M-Inf-AI-app Applied Artificial Intelligence Applied Artificial Intelligence Applied Artificial Intelligence: Vorlesung Student information
- Graded examination Student information
39-M-Inf-INT-app Applied Interaction Technology Applied Interaction Technology Applied Interaction Technology: Vorlesung Student information
- Graded examination Student information
39-M-Inf-MBP Multimodal Behavior Processing Multimodal Behavior Processing Multimodal Behavior Processing Ungraded examination
Graded examination
Student information
39-Mewi-HM42 Media and information processing technologies Medien- und Informationsverarbeitungstechnologien Introductory lecture on topic 1 Student information
Introductory lecture on topic 2 Study requirement
Student information
Introductory lecture on topic 3 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  
Veranstaltungen für Schülerinnen und Schüler   Die Anmeldung zum Schnupperstudium erfolgt über die Junge Uni per E-Mail an: dop@uni-bielefeld.de  
No more requirements
No eLearning offering available
Registered number: 9
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Address:
WS2025_392117@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Wednesday, September 17, 2025 
Last update times:
Wednesday, September 17, 2025 
Last update rooms:
Wednesday, September 17, 2025 
Type(s) / SWS (hours per week per semester)
written examination (Kl) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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ID
604347996