Big Data - Foreacsting and Decision Making

Faculty

Faculty of Business Management and Social Sciences

Version

Version 14.0 of 05/10/2019

Code of Module

22M0878

Modulename (german)

Big Data – von Daten zu Prognosen und Entscheidungen

Study Programmes
  • Business Management (M.A.)
  • Controlling und Finanzen (M.A.)
  • International Business and Management (Master) (M.A.)
  • Management in Nonprofit-Organisationen (M.A.)
Level of Module

5

Responsible of the Module

Faatz, Andreas

Lecturer(s)

Faatz, Andreas; Hirschfeld, Gerrit; Bensberg, Frank; Markovic-Bredthauer, Danijela; Dallm?ller Klaus

Credits

5

Concept of Study and Teaching
Workload Dozentengebunden
Std. WorkloadLehrtyp
38Seminare
Workload Dozentenungebunden
Std. WorkloadLehrtyp
112Hausarbeiten
Recommended Reading

Berthold, Michael R., et al. Guide to intelligent data analysis: how to intelligently make sense of real data. Springer Science & Business Media, 2010.

Field, Andy. Discovering statistics using IBM SPSS statistics. Sage, 2013.

Andy Field, Jeremy Miles, and Zo? Field. Discovering Statistics Using R. SAGE Publications, 2012.

Hyndman, Rob J., and George Athanasopoulos. Forecasting: principles and practice. OTexts, 2014.

Michalski, Ryszard S., Jaime G. Carbonell, and Tom M. Mitchell, eds. Machine learning: An artificial intelligence approach. Springer Science & Business Media, 2013.

Runkler, Thomas A. Data Mining: Modelle und Algorithmen intelligenter Datenanalyse. Springer-Verlag, 2015.

Wollschl?ger, Daniel. Grundlagen der Datenanalyse mit R: eine anwendungsorientierte Einführung. Springer-Verlag, 2015.

Graded Exam
  • Two-Hour Written Examination
  • Portfolio exam
Duration

1 Term

Module Frequency

Only Winter Term

Language of Instruction

German