|Short Description:||Data Mining|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Sciences|
|Student contribution band :||Band 2|
|ASCED code :||020199 - Computer Science not elsewhere|
|Grading basis :||Graded|
|Version produced :||4 June 2020|
Pre-requisite: (STA2300 or STA8170) and CSC1401
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.