392221 Klausur: Deep Learning - 1. Termin (Kl) (SoSe 2024)

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Teaching staff

Deadlines

Registration via the electronic course catalogue (eKVV) by 7/11/24

Examinations ( Calendar view )

Date Time Format / Room Comment about examination

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Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Vorlesung Graded examination
Student information
39-M-Inf-AI-app Applied Artificial Intelligence Applied Artificial Intelligence: Vorlesung Student information
- Graded examination Student information
39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus) Applied Artificial Intelligence (focus): 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.

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Registered number: 31
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.
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eKVV participant management is used for this course.
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Address:
SS2024_392221@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_462564444@ekvv.uni-bielefeld.de
Coverage:
31 Students to be reached directly via email
Notes:
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Number of entries 1
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Last update basic details/teaching staff:
Tuesday, July 23, 2024 
Last update times:
Friday, March 8, 2024 
Last update rooms:
Friday, March 8, 2024 
Type(s) / SWS (hours per week per semester)
Kl / 2
Department
Faculty of Technology
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https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=462564444
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ID
462564444