Information Package / Course Catalogue
Applied Multivariate Statistical Methods-II
Course Code: BİS520
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

Classification and examining the dependency structure with dimensionality decomposition in multivariate data sets and hypothesis tests

Course Content

Principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis, cluster analysis, multi-dimensional scaling, correspondence analysis

Name of Lecturer(s)
Learning Outcomes
1.To be able to analyse multivariate statistics with several data sets by using statistical softwares such as SPSS, Statistica, Systat, Minitab
2.To be able to apply the multivariate statistical methods with theoretical or real life data sets by using related statistical softwares. Homework preparation and presentations.
3.To learn how to apply Principal component analysis, factor analysis
4.To learn how to do multi-dimensional scaling and correspondence analysis
5.To be able to analyse Canonical correlations, Discriminant analysis and Cluster analysis
Recommended or Required Reading
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