310001 Übung zu Survival Analysis (Ü) (WiSe 2026/2027)
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 12.10.2026-05.02.2027 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-EM-3 Applied Empirical Methods | Übung Angewandte empirische Methoden | Study requirement
|
Student information |
| 31-M-ASM1 Advanced Statistical Methods I | Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Student information | |
| Courses in the field of statistics and/or in (a) methodologically related field(s) (II.) | Student information | ||
| 31-M-ASM2 Advanced Statistical Methods II | Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Student information | |
| Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Student information | ||
| 31-MM15 Quantitative Methods | 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 Quantitative Methods | 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 |
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
No eLearning offering available
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- WS2026_310001@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, April 17, 2026
- Last update times:
- Friday, April 17, 2026
- Last update rooms:
- Friday, April 17, 2026
- Type(s) / SWS (hours per week per semester)
- exercise (Ü) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
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