392199 Machine Learning / Computational Intelligence (S) (SoSe 2022)

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Frequency	Weekday	Time	Format / Place	Period
weekly	Do	14-16		04.04.-15.07.2022

Degree programme/academic programme	Validity	Variant	Subdivision	Status	Semester	LP
Intelligente Systeme / Promotion			Individueller Ergänzungsberei	Wahl	4. 6.

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Registered number: 1: 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:: SS2022_392199@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_371595829@ekvv.uni-bielefeld.de
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Type(s) / SWS (hours per week per semester): seminar (S) / 2
Department: Faculty of Technology
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ID: 371595829