Module Descriptor School of Computer Science and Statistics
|Module Short Title||Multivariate Linear Analysis (MLA)|
Lecture hours: 22, Lab hours: 11, Tutorial hours: 0 Total hours:33
|Module Personnel||Dr. Brett Houlding|
When students have successfully completed Multivariate Analysis they should be able to:
Classical multivariate techniques of discriminant analysis, principal component analysis, clustering and logistic regression are examined. There is a strong emphasis on the use and interpretation of these techniques. More modern techniques, some of which address the same issues, are covered in the SS module Data Mining.
|Recommended Reading List|
Multivariate Analysis: Introduction to Multivariate Analysis, C. Chatfield and A. Collins, Chapman & Hall
Exam: 80% (2 hours)Coursework: 20%.
|Academic Year of Data||2017/18|