MA-WW-WINF-0412 / D-WW-WINF-0412 - Data Science: Predictive Analytics

Objectives & Content

The module deals with the fundamentals and principles of supervised procedures for generating prediction models on the basis of structured data with the help of procedures from the field of machine learning using analytical information systems. Students are able to apply these methods to various practical examples and to evaluate, interpret and critically question the results. In particular, students will built up an understanding of the ideal-typical knowledge-discovery-in-databases process and its components in general, and modelling and data pre-processing in particular. Furthermore, the students will be able to appropriately approach and solve predictive modelling problems on basis of complex data sets and thus provide adequate decision support. They will have the ability to deal with selected application systems of machine learning in particular and predictive modelling in general.

Forms of Teaching & Learning

• Format: e-Lectures & exercises
• Scope: 5 CP

Further information

See Opal