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; Dallmöller Klaus
- Credits
5
- Concept of Study and Teaching
Workload Dozentengebunden Std. Workload Lehrtyp 38 Seminare Workload Dozentenungebunden Std. Workload Lehrtyp 112 Hausarbeiten
- 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 Zoë 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.
Wollschläger, 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