312420 Bayesian Statistics I (V) (SoSe 2024)
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-ASM1 Advanced Statistical Methods I | Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) | Student information | |
| Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) | Student information | ||
| 31-M-ASM2 Advanced Statistical Methods II | Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) | Graded examination
|
Student information |
| Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (II.) | Graded examination
|
Student information | |
| 31-M-El1 Elective Courses 1 | Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 4 LP | Student information | |
| 31-M-El2 Elective Courses 2 | Gewählte Veranstaltungen aus dem Bereich quantitativen Methoden 4 LP | Student information | |
| 31-MM15 Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie, etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV, etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken, etc.) | Student information | |
| 31-MM15-WiMa Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken etc.) | Student information | |
| 31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
|
Student information |
| Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | 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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Economics and Management (BiGSEM) / Promotion | Data Science; Electives | 4 | |||||
| Studieren ab 50 |
No more requirements
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 30
- 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:
- SS2024_312420@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_452112110@ekvv.uni-bielefeld.de
- Coverage:
- 30 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 3
- Open email archive
- Last update basic details/teaching staff:
- Friday, December 15, 2023
- Last update times:
- Wednesday, February 14, 2024
- Last update rooms:
- Wednesday, February 14, 2024
- Type(s) / SWS (hours per week per semester)
- V / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=452112110
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