319415 Reading Course "Statistische Wissenschaften" (S) (SoSe 2024)
Contents, comment
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In this course, we discuss discrete choice models.
Classical discrete choice models are used when a decision maker's choice for one option out of a discrete and finite set of alternatives is to be modelled.
One example would be the choice of transportation mode to get to the university (bus, train, car, bicycle or by foot).
The goal is to understand the reasons behind the choices and to make predictions.
Requirements for participation, required level
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It is expected that participants are familiar with basic statistics (e.g. from introductory courses in statistics, stochastics or econometrics).
Bibliography
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"Discrete choice methods with simulation", Kenneth Train (2009), Cambridge Univ. Press, 2. ed.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 12-14 | X-E1-202 | 08.04.-19.07.2024
not on: 5/1/24 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
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Student information |
| Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
|
Student information | |
| 31-SW-StaFo Forschung in der Statistik | Reading Course | 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 | Economics; Prerequisites | 4 |
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: 14
- 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_319415@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_449562208@ekvv.uni-bielefeld.de
- Coverage:
- 14 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, November 24, 2023
- Last update times:
- Wednesday, February 28, 2024
- Last update rooms:
- Wednesday, February 28, 2024
- Type(s) / SWS (hours per week per semester)
- S / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
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