USQ LogoCourse specification
The current and official versions of the course specifications are available on the web at //
Please consult the web for updates that may occur during the year.

CSC8004 Data Mining

Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Agric, Comp and Environ Sciences
Student contribution band : Band 2
ASCED code : 020199 - Computer Science not elsewhere


Pre-requisite: STA2300 and CSC1401

Other requisites

It's is highly recommended that the students who take this course have proficiency in at least one of the mainstream programming languages such as C/C++, Java, Python and so on in order to carry out the project for this course.


Data mining aims at finding useful regularities or patterns in large data sets generated in modern management and science. This course covers the main data mining methods, including clustering, classification, association rules mining, and recent techniques for data mining. The methods are developed and applied to various data sets.

Course offers

Semester Mode Campus
Semester 1, 2016 On-campus Toowoomba
Semester 1, 2016 Online