Business Data Science - Forecasting and Decision Making

Faculty

Faculty of Business Management and Social Sciences

Version

Version 1 of 08.06.2024.

Module identifier

22M1097

Module level

Master

Language of instruction

German

ECTS credit points and grading

5.0

Module frequency

only winterterm

Duration

1 semester

 

 

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Hours of workloadType of teachingMedia implementationConcretization
40SeminarPresence-
5Learning in groups / Coaching of groupsPresence-
Lecturer independent learning
Hours of workloadType of teachingMedia implementationConcretization
50Exam preparation-
55Work in small groups-
Graded examination
  • Written examination or
  • Portfolio exam or
  • Portfolio exam
Literature

Géron, Aurélien. Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow: Konzepte, Tools und Techniken für intelligente Systeme. O'Reilly, 2020. 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.

Applicability in study programs

  • Management for Health Services, M.A.
    • Management for Health Services, M.A.

  • International Business and Management (Master)
    • International Business and Management, M.A. (01.09.2024)

  • Business Management
    • Business Management, M.A.

    Person responsible for the module
    • Faatz, Andreas
    Teachers
    • Faatz, Andreas