312911 Masterkolloquium "Statistik, Data Science und Ökonometrie" (Ko) (SoSe 2025)
Contents, comment
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Das Kolloquium besteht aus drei Blöcken:
1. Crashkurs in wissenschaftlichem Arbeiten: von der Idee zur Masterarbeit.
2. Einstieg ins Thema: individuelles Arbeiten an der Formulierung eines Themas gemeinsam mit den BetreuerInnen.
3. Präsentation eines Arbeits- und ZeitplansIm Rahmen des Kolloquiums werden Themenvorschläge präsentiert. Eigene Ideen sind willkommen. Ziel des ersten Blocks ist es,
dass Studierende ein grobes Thema formuliert haben und eine Betreuung dazu gefunden haben.Die zweite Phase dient dazu die nötigen Voraussetzungen zu schaffen. Dabei kann es sich um Daten, Methoden oder Software handeln.
In der dritten Phase beginnt dann die eigentliche Arbeit.
Das Kolloquium umfasst alle Themen des Bereichs "Empirische Methoden". Sie sind also in diesem Kolloquium richtig, wenn Sie eine Masterarbeit unter Betreuung durch
Timo Adam, Dietmar Bauer, Christiane Fuchs, Roland Langrock oder Odile Sauzet schreiben wollen.Eine Anmeldung der Masterarbeit im Laufe des Kolloquiums ist Voraussetzung für eine Betreuungszusage.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 8-10 | V9-117 | 07.04.-18.07.2025 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-MMW Mastermodul | Masterarbeit-Kolloquium | Study requirement
|
Student information |
| Masterarbeit-Kolloquium | Study requirement
|
Student information | |
| 31-M-Master Master Thesis | Masterkolloquium | Study requirement
|
Student information |
| 31-M-Master-IT Master Thesis - International Track | Masterkolloquium | Study requirement
|
Student information |
| 31-M-Thesis Master's Thesis | - | Graded examination | Student information |
| 31-MM19 Masterarbeit | Masterkolloquium | Study requirement
|
Student information |
| 31-SW-Thesis Masterarbeit | - | 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.
- E-Learning Space
- E-Learning Space
- Registered number: 7
- 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:
- SS2025_312911@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_508172752@ekvv.uni-bielefeld.de
- Coverage:
- 7 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, November 22, 2024
- Last update times:
- Wednesday, April 2, 2025
- Last update rooms:
- Wednesday, April 2, 2025
- Type(s) / SWS (hours per week per semester)
- colloquium (Ko) / 2
- Department
- Faculty of Business Administration and Economics
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=508172752
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