Syllabus
Title
4890 Marketing and Retail (1)
Instructors
ao.Univ.Prof. Dr. Andreas Mild, Dr. Martin Waitz
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/04/19 to 05/03/19
Registration via LPIS
Registration via LPIS
Notes to the course
This class is only offered in summer semesters.
Subject(s) Master Programs
Dates
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 05/08/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 05/15/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 05/22/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 05/29/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 06/05/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 06/12/19 | 04:00 PM - 07:00 PM | D2.0.030 |
Wednesday | 06/19/19 | 02:30 PM - 07:00 PM | D2.0.030 |
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 & Introduction to R
2: Describing data
3: Relationships between continuous variables
4: Linear models
5: Segmentation
6: Mapping & Positioning
7: Final Exam
After completing this course students will have a basic knowledge of fundamentals of Data Analysis for Marketing problems. They are able to describe and visualize data with R and apply models for advanced marketing applications. Students will learn about decision problems in retailing. Beside an understanding of the problem structure, students will learn to apply mathematical and statistical tools to support decision making. Apart from that, completing this course will contribute to the students’ ability to efficiently work and communicate in a team, work on solutions for complex practical problems by using modern statistical software.
According to the examination regulation full attendance is intended for a PI.
The course will combine alternative ways to deliver the different topics to the students. On the one hand, a classical lecture style approach where the instructor presents the software will be used; on the other hand, students will have to solve hand on problems in class and as homework.
Last edited: 2018-11-29
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