Course 2016-2017 a.y.

Classes: 6 (II sem.) - 7 (II sem.)

Instructors:
Class 6: JOACHIM VOSGERAU, Class 7: JOACHIM VOSGERAU

This course is designed to make you a better decision maker, for marketing problems and in general. Good decision makers know how to recognize decision problems, how to represent the essential structure of the decision situation, and how to analyze the problem with the formal tools based on decision theory. Decision makers need to be able to think effectively about the inputs into a decision analysis, whether to trust the analysis, and how to use the outputs to guide actions by themselves and their firms. The course covers formal (e.g., factor and cluster analysis, conjoint analysis) and behavioral decision making tools (principles of causal inference, avoidance of biased decision making) which are applied to marketing-specific contexts (e.g., pricing, segmentation). You learn to use these decision making tools in a research group project. The project involves collecting data and analyzing it with the statistical software package SPSS.

Students evaluations rules are detailed at the beginning of the course and available in the Syllabus of the course.

Attending and non-attending students:

• Articles and papers selected by the instructor and indicated on Blackboard.
• slides uploaded on Blackboard.
• datasets uploaded on Blackboard.
• note on the design and use of regression (see pages 8-17 of the syllabus).