Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Motivation: A Review of references and introductory matrix algebra Related chapters of reference books
2 Building the data matrix for multivariate analysis and descriptive statistics Related chapters of reference books
3 Multivariate graphics, standardization and multivariate normal distribution Related chapters of reference books
4 Building the data matrix for multivariate analysis and descriptive statistics Related chapters of reference books
5 Canonical correlation analysis and its applications Related chapters of reference books
6 Dimension Reduction: Factor analysis and its assumptions Related chapters of reference books
7 Dimension Reduction (cont): Factor analysis and its applications Related chapters of reference books
8 Midterm Exam
9 Classification: Clustering analysis and its assumptions Related chapters of reference books
10 Classification (cont): Clustering analysis and its assumptions Related chapters of reference books
11 Classification: Assumptions of discriminant analysis Related chapters of reference books
12 Classification (cont): Applications of discriminant analysis Related chapters of reference books
13 Discussion of papers about multivariate methods Related chapters of reference books
14 Discussion of papers about multivariate methods Related chapters of reference books
15 Discussion of papers about multivariate methods Related chapters of reference books
16-17 Final Exam

Recommended or Required Reading
Textbook
Additional Resources