Marketing Analytics II (vormals "Marketing Operations") (SoSe 2024)
Course schedule
| Day | Time | Frequency | Date | Room |
|---|---|---|---|---|
| Tuesday | 14:00- 16:00 | weekly | 28.05.2024- 16.07.2024 | Schlossplatz 46, H 1 |
| Wednesday | 12:00- 14:00 | weekly | 29.05.2024- 17.07.2024 | Aula am Aasee, Aula am Aasee |
| Friday | 10:00- 12:00 | weekly | 31.05.2024- 19.07.2024 | Schlossplatz 46, H 1 |
| Friday | 10:00- 12:00 | single date | 28.06.2024 | Aula am Aasee, Aula am Aasee |
Notice
Detailed course outline. (tba)
Contact person: Mara Konduschek, M.Sc.
This course takes place in the second term of the summer semester.
The first Lecture will take place on (tba).
Marketing Analytics II is part of the module Marketing Analytics (PO BWL 2022) and Quantitative Marketing (PO BWL 2019).
Course grade: Final exam (100 %)
Please register at the examination office for the regular examination period.
Credit points: 3 ECTS
During the course, please communicate and stay updated via the course page on Learnweb. Announcements, lecture slides and any additional material will be published there.
The Learnweb course remains open until the first lecture, so that enrollment without a password is possible. The password is set afterwards and the course is thus closed. The lecture materials will be released after the closing. E-mail and telephone inquiries about the password will only be answered in the case of subsequent registration.
FAQs
- A copy folder with auxiliary reading material is available at Heribert Meffert Library and will be electronically available on Learnweb.
- The date of the exam will determined and announced by the Prüfungsamt only.
- The exam Marketing Analytics II will be written in English.
- You can bring a pocket calculator and an uncommented dictionary to the exam.
- No formulary is provided in the Marketing Operations exam.
- There will be 60 points in the Marketing Operations exam.
- Individual enquiries regarding contents of the exam will not be answered.
- All sessions (also lectures by guest speakers and practice cases) are relevant for the exam.
Description
Good decision making is based on a thorough evaluation of competing decision alternatives. To be successful in today's fast-paced and data-rich decision-making environments, entrepreneurs must understand the art and science of decision-making and be able to put the implications into practice. Marketing Analytics II helps to develop an understanding of how data is transformed into information, shows how modeling succeeds under uncertainty and what methods are available for optimization. As a result, better decision-making outcomes are achieved and thus, an increase in the Return on Marketing.
Lecturers
- Professor Dr. Manfred Krafft (responsible)
- Mara Leonie Konduschek (accompanying)