The lecture can be taken with 4 or 6 CP.

The required workload:

- 4 CP includes one written exam and at least one submission of an implementation task/homework task

- 6 CP includes one written exam and at least two submissions of an implementation task/homework task

Successful completion of Marketing 1 and/or Machine Learning I is a useful prerequisite for participation.

In this course, algorithms familiar from the Machine Learning I course, such as principal component analysis, clustering in practical use cases in marketing. 

In addition, other approaches, such as multidimensional scaling and conjoint analysis, are discussed in the marketing context.