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): | Associate Professor Ayse Bilgin |
| Prerequisites: |
6cp at 200 level including (STAT270 or STAT271 or BIOL235(P) or PSY222 or PSY248(P)) |
| Corequisites: | |
| NCCW(s): | STAT396 |
| Unit Designation(s): | |
| Unit Type: | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
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