Year of Study:	3 - 4
Credit Units:	3
Duration:	45hours
Prerequisites:	AMS2640 except with the permission of the Module Coordinator and endorsement of the relevant Head or Programme Director

This module aims to provide students with the data mining techniques for solving practical problems. Students will learn a set of tools (e.g, SAS, R, Weka, Tableau) for data visualization and apply data mining techniques such as classification and association rules, cluster analysis and dimensionality reduction to analyse real-life problems. Students are required to work effectively in a team to complete a project.

Upon completion of this module, students should be able to:

1. examine the significance of knowledge discovery process, data quality and preprocessing;


2. apply visualization techniques for effective communication;


3. apply data mining skills and techniques;


4. interpret and present the results in a scientific and concise manner; and work effectively in a team and solve real-life problems.