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Graphics, Multivariate Methods and Data Mining - STAT302

This unit introduces statistical tools for multivariate data analysis such as statistical graphics, discriminant analysis, principal component analysis, cluster analysis and an introduction to data mining, especially classification. Statistical packages are used extensively to illustrate the concepts in lectures and tutorials. Students are given opportunities to share their learning with their peers in tutorials, by presenting to their peers such as solutions to a problem posed in an earlier class, or summary of a specific weeks’ learning in one or two slides, similar to 3 minute thesis presentations.

Credit Points: 3
When Offered:

S2 Day - Session 2, North Ryde, Day

Staff Contact(s): Statistics Staff

6cp at 200 level including (STAT270 or STAT271 or BIOL235(P) or PSY222 or PSY248(P)) Prerequisite Information


NCCW(s): STAT396
Unit Designation(s):



Unit Type:
Assessed As: Graded
Offered By:

Department of Mathematics and Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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