310809 Portfolioteilleistung im Modul Datenanalyse (31-M9) am 02.04.2026 (1. Termin) - ANMELDESCHLUSS 28.11.2025 (MDP) (WiSe 2025/2026)

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--- Anmeldeschluss 28.11.2025 ---

  • 28.11.2025 Anmeldeschluss für das Portfolio
  • 11.12.2025 um 10:00 Uhr: Abgabe 1. Aufgabenzettel für Computergestützte Methoden
  • 12.02.2026 um 10:00 Uhr: Abgabe 2. Aufgabenzettel für Computergestützte Methoden
  • 02.04.2026 Klausur (30 Min.) für Einführung in die Ökonometrie
Diese Anmeldung ist verbindlich und beinhaltet folgende Teilleistungen:
  • Einführung in die Ökonometrie im WiSe 25/26
  • Computergestützte Methoden im WiSe 25/26 und
  • Angewandte Statistik im SoSe 2026
Notwendige Voraussetzung; je nach Studiengang:
  • 31-M1 - Einführung in die Wirtschaftswissenschaften oder
  • 24-AN - Analysis

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Teaching staff

  • None found

Deadlines

Registration via the electronic course catalogue (eKVV) by 11/28/25 / Deregistration via the electronic course catalogue (eKVV) by 11/28/25

Examinations ( Calendar view )

Date Time Format / Room Comment about examination
Thursday, April 2, 2026 10:00-12:00 AUDIMAX , Klausurdauer: 30 Min., Klicken Sie auf "In Stundenplan setzen", um sich verbindlich anzumelden.

Subject assignments

Module Course Requirements  
31-M9 Datenanalyse Angewandte Statistik Student information
Computergestützte Methoden Student information
Einführung in die Ökonometrie 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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eKVV participant management is used for this course.
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Address:
WS2025_310809@ekvv.uni-bielefeld.de
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Notes:
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Last update basic details/teaching staff:
Friday, October 17, 2025 
Last update times:
Thursday, October 16, 2025 
Last update rooms:
Thursday, October 16, 2025 
Type(s) / SWS (hours per week per semester)
module examination (MDP) /
Department
Faculty of Business Administration and Economics
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ID
571981946