201801 Präsenzklausur zu Einführung in die statistische Datenanalyse mit R (Kl) (WiSe 2022/2023)

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Teaching staff

Deadlines

Registration via the electronic course catalogue (eKVV) by 2/13/23

Examinations ( Calendar view )

Date Time Format / Room Comment about examination
Monday, February 20, 2023 9-12 H4 Online-Klausur vor Ort mit eigenem Laptop
Monday, February 20, 2023 9-12 H5

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Subject assignments

Module Course Requirements  
20-BM_b Mathematik, Teil Statistik/Informatik Statistik und Informatik Graded examination
Student information
Statistik und Informatik 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.

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E-Learning Space
E-Learning Space
E-Prüfung
E-Prüfung
Registered number: 142
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.
eKVV participant management:
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Address:
WS2022_201801@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_359909032@ekvv.uni-bielefeld.de
Coverage:
115 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Thursday, January 19, 2023 
Last update times:
Thursday, February 16, 2023 
Last update rooms:
Thursday, February 16, 2023 
Type(s) / SWS (hours per week per semester)
written examination (Kl) /
Department
Faculty of Biology
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https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=359909032
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ID
359909032