312504 Regression Analysis (V) (WiSe 2020/2021)
Short comment
- The lecture may take place as distance learning.
Contents, comment
-
This course will be taught online. The material can be accessed via the Lernraum+. The basic format will be started on November 4th with a video conference. Details on how to dial in will be disseminated at that time.
After the start of the lecture, you will find online material consisting of short videos covering the lecture materials, the lecture slides, a forum to discuss questions and additional readings to complement the videos.
The lecture is colsely oriented along the book by Fahrmeir et al, which can be found online via the university library page.
Bibliography
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L. Fahrmeir et al.(2013): Regression: Models, Methods and Applications. Springer Berlin Heidelberg.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-El1 Elective Courses 1 Elective Courses 1 | Chosen course from the group "Specialisation and deepening of the knowledge on economic theory and/or quantitative methods" 4 LP | Student information | |
| 31-M-El2 Elective Courses 2 Elective Courses 2 | Chosen course from the group quantitative methods 4 LP | Student information | |
| Chosen course from the group quantitative methods 4 LP | Student information | ||
| 31-M-ISDA Introduction to Statistical Data Analysis Introduction to Statistical Data Analysis | Regression Analysis | 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
- Address:
- WS2020_312504@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_224799647@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Tuesday, May 26, 2020
- Last update times:
- Tuesday, October 6, 2020
- Last update rooms:
- Tuesday, October 6, 2020
- Type(s) / SWS (hours per week per semester)
- lecture (V) /
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
- Questions or corrections?
- Questions or correction requests for this course?
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- Links to this course
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=224799647
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- ID
- 224799647