Syllabus

Title
5557 Marketing Analytics
Instructors
Univ.Prof.i.R. Dr. Sylvia Frühwirth-Schnatter, Univ.Prof. Dr. Thomas Reutterer
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/06/14 to 02/21/14
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Wednesday 03/12/14 03:00 PM - 05:00 PM D2.2.487
Wednesday 07/02/14 09:00 AM - 01:00 PM D2.2.487
Contents

Even though the title might suggest, this course is not targeted to PhD students with a marketing background only. We will use examples from marketing, however, a large fraction of research projects in other subdisciplines of business administration (such as organizations, strategy, and management) requires the utilization of quantitative research methods. The course might also be interesting for economists.

The course is designed to provide an introduction to some widely used quantitative research techniques. Such methods include but are not limited to market response modeling, stochastic repeat-buying models, logit/probit models, discrete choice models, and Bayesian statistical methods. The course also offers opportunities for in-depth discussion of specific methodological issues, depending on the research interests of the students.

The actual content and course structure will be customized to the specific requirements of the students, which we will discuss in the opening session. Thus, it is absolutely necessary that interested students are attending this first session.

Learning outcomes

The main emphasis of this course is to provide methodological advice and guidance to PhD students. The seminar also offers students opportunities to meet and to discuss their research work with each other and the course instructors. Breakout groups and occasional individual coaching sessions will cover the more specific requirements of students.

Teaching/learning method(s)
The course will utilize a mix of interactive faculty lectures, class discussions, and student presentations. The instructors will provide students with additional advice, individual and/or group coaching sessions, and feedback. Active participation is crucial for a favorable outcome of this course.
Assessment
Students will be assessed based on their in-class contributions (20%), a peer feedback evaluation (30%), and a presentation of a research paper (50%).
Last edited: 2014-01-21



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