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4118: Business Data Analysis ( forår 2011 - 10 ECTS )

Rammer for udbud

  • Uddannelsessprog: engelsk
  • Niveau: Master  
  • Semester/kvarter: Spring semester  
  • Timer per uge: 4 lectures in 12 weeks. See time table at www.econ.au.dk/teaching/elective-courses/ for time and lecture room  
  • Deltagerbegrænsning: None  
  • Undervisningssted: Århus
  • Hovedområde: Det Samfundsvidenskabelige Fakultet
  • Udbud ID: 27983

Formål

Learning objectives
After following this course, students should be able to:
• To analyze multivariate data from a questionnaire.
• To reflect on the appropriate analysis for a given management, marketing, strategy or innovation issue in a company
• To perform analysis of group differences
• To perform classification analyses as to give sound segmentation results to be used in management, marketing, strategy or innovation decisions.
• To formulate and analyze structures in management, marketing, strategy and innovation aspects.
• To reflect on the business models stemming from the multivariate data analyses.

 

 

Indhold

Course description:
The ability to analyze multivariate data most often stemming from questionnaires is an important capability for managers working with management, marketing, strategy or innovation in a company. The purpose of the course business data analysis is to educate students in the skills needed for excellent performance of multivariate analysis and thereby enhance their overall information competence. The course focuses on the statistical functions of each multivariate tools as well as interpretation and use of the results on management, marketing, strategy and innovation decision situations that managers face in their daily work.

Course subject areas:

- Group differences

  • Multivariate analysis
  • Logistic regression


- Classification/segmentation

  • Cluster analysis
  • Discriminant analysis
  • Multidimensional scaling (perceptual mapping)

- Structuring

  • Principal components
  • Factoranalysis

- Modelling

  • Path analysis
  • Partial least square (PLS) analysis

 

Faglige forudsætninger

Regression Analysis
Cannot be in study programme together with Advanced Quantitative Research Methods

 

Underviser

Kristina Risom Jespersen

 

Undervisnings- og arbejdsform

Lectures and exercises on course curriculum during 12 weeks. The lectures aim at setting up the general framework for each analytical tool as well as presenting the context in management, marketing, strategy and innovation where the analytical tool may be used appropriately. The exercises have the purpose of bringing students a higher experience level with the analytical techniques and provide the expertise in the interpretation and use of the analytical outcome on management, marketing, strategy or innovation decisions in practice. For the analysis SPSS and Smart PLS are used.

 

Sprog

 

Litteratur

Tabachnick & Fidell (2007): Using Multivariate Statistics. Pearson International Edition, 5th edition.
Compendium of articles

 

Bedømmelse

Form of assessment: take home assignment followed by an oral examination
Examination aids allowed: All