wir808 Multivariate Statistics (Complete module description)

wir808 Multivariate Statistics (Complete module description)

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Module title Multivariate Statistics
Module code wir808
Credit points 6.0 KP
Responsible institute Department of Business Administration, Economics and Law (Business Administration and Business Education)
Responsible persons
Module responsibility:
Ralf Werner Stecking
Authorised to examine:
Die im Modul Lehrenden
Prerequisites
Language of instruction German
Learning outcomes/competencies
With successful completion of the course, students shall:
  • be aware of and be able to evaluate advanced methods of multivariate data analysis.
  • be able to select adequate methods in relevant fields of application, like prediction, classification, and segmentation analysis.
  • be able to run computer-aided analyses and to interpret the results properly.
Module contents
Various methods of quantitative data analysis such as:
  • Linear Regression,
  • Logistic Regression,
  • Linear Discriminant Analysis,
  • Principal Component Analysis,
  • Feature selection and evaluation methods.
Recommended reading
Backhaus, Erichson, Plinke, Weiber (2015): Multivariate Analysemethoden, 14. Aufl., Springer, Berlin
Litz, H.P. (2000): Multivariate Statistische Methoden, Oldenbourg, München
Hartung, J. und Elpelt, B. (2006): Multivariate Statistik, 7. Aufl., Oldenbourg, München
Berthold, M. und Hand, D.J. (2010): Intelligent Data Analysis, 2. Aufl., Springer, Berlin
Witten, I.H. und Frank, E. (2011): Data Mining, 3. Aufl., Morgan Kaufmann, San Francisco
Required assesment
Method of assesment
written exam or oral exam
Exam dates
at the end of the semester
Duration (semesters) 1 Semester
Module frequency jährlich
Workload
Total workload Contact hours
180 h
Course type
Type SWS Module frequency Contact hours
Lecture 2 28 h
Exercises 2 28 h
Further information

Module Capacity:
unrestricted
Applicability of the module
  • Master's Programme Business Administration, Economics and Law > Basismodule
  • Master's Programme Business Administration, Economics and Law > Mantelmodule (MPO2020)
  • Master's Programme Business Administration, Economics and Law > Schwerpunkt "Volkswirtschaftslehre" (VWL) (MPO2020)
  • Master's programme Business Administration: Management and Law > Basismodule
  • Master's Programme Business Informatics > Business Informatics
  • Master's Programme Business Informatics > Module der Wirtschafts- und Rechtswissenschaften (Master)
  • Master's Programme Computing Science > Module aus anderen Studiengängen
  • Master's Programme Environmental Modelling > Mastermodule
  • Master's Programme Sustainability Economics and Management > Basic Modules
  • Master's Programme Sustainability Economics and Management > Basic Modules