| Lecturer: | Prof. Dr. Stefan Mayer |
| Course description: | B320 |
| Language: | English |
| Recommended for this semester or higher: | 4 |
| ECTS-Credits: | 9 |
| Course can be taken as part of following programs/modules: | See alma |
| Prerequisites: | --- |
| Limited attendance: | --- |
| Course Type: | Lecture (2 weekly lecture hours), tutorial (2 weekly lecture hours) |
| Date: | - Lecture: Tuesdays, 10 p.m. - 12 p.m. c.t., HS 01 (Neue Aula)
- Tutorials: Wednesdays, 8 a.m. - 10 a.m. c.t., PC Lab 008 (Nauklerstr. 47) or Wednesdays, 12 p.m. - 2 p.m. c.t., SR E02 (Mohlstr. 36)
First lecture on April 22, 2025 First tutorials on April 30, 2025 |
| Registration: | Not required |
| Method of Assessment: | Written exam (60 minutes) |
| Content: | Students know how to conduct their own market research project, under which circumstances which data collection method is appropriate, and which method of data analysis is optimal in which situation. Students will also be aware of how to apply the knowledge they acquire in lecture and practice course to marketing research case studies. In the tutorials, students learn to use and apply R. |
| Objectives: | 1. Data collection
2. Data Visualization
3. Data Analysis |
| Literature: | Field, A., & Miles, J. (2012). Discovering Statistics Using R. London; Thousand Oaks, Calif: Sage Publications Ltd. |
| Downloads: | --- |
| ILIAS: | tbd |
