314004 Reading Course "Statistische Wissenschaften" (S) (WiSe 2021/2022)
Short comment
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Die Veranstaltung soll VOR ORT abgehalten werden.
Course taught in English. Should take place in presence.
Contents, comment
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In this course we discuss discrete choice models. A discrete choice model assumes that a decision-maker decides between a discrete set of alternatives. For example, a customer in a supermarket decides between different products to buy. Our 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 |
|---|
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
|
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: 31
- 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:
- WS2021_314004@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_292119476@ekvv.uni-bielefeld.de
- Coverage:
- 26 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Tuesday, June 29, 2021
- Last update times:
- Friday, July 30, 2021
- Last update rooms:
- Friday, July 30, 2021
- 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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- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=292119476
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- ID
- 292119476