Final exam will be an online exam.
Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Thursday | 10/08/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 10/15/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 10/22/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 10/29/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 11/05/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 11/12/20 | 02:00 PM - 05:30 PM | Online-Einheit |
Thursday | 11/19/20 | 02:00 PM - 05:30 PM | Online-Einheit |
The course gives an introduction into Marketing Research and Analytics with an emphasis on problems in Retailing. All analyses will be done using R.
Unit:
1: Course overview
2: Self study unit (Chapters: 1-3)
3: Correlation (4)
4: Comparing Groups (5,6)
5: Linear models (7)
6: Self study unit
7: Final Exam (oral)
According to the examination regulation full attendance is intended for a PI. Absence in one unit is tolerated if a proper reason is given.
The final grade of the course will depend on
- final oral exam (60%)
- homework assignments (40%)
Please note that there will be no possibility to retake the final exam. The assessment of the homework assignments is based on a regular grading scheme that is indicated with the sample problems.
Grading scale:
(1) Excellent: 90% - 100%
(2) Good: 80% - <90%
(3) Satisfactory: 70% - <80%
(4) Sufficient: 60% - <70%
(5) Fail: <60%
Prerequisite for passing the course: minimum performance of 40% in the final examination.
Class attendance in all sessions is mandatory!
General prerequisites:
- Basic knowledge in statistics
- Basic knowledge in R
- Basic knowledge in operations management
Incoming students (exchange partners): min. 5 ECTS credits in Operations Research
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