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CS5483 - Data Warehousing and Data Mining

Offering Academic Unit
Department of Computer Science
Credit Units
3
Course Duration
One semester
Pre-requisite(s)
CS3402 or CS5481 or equivalent
Course Offering Term*:
Semester B 2017/18

* The offering term is subject to change without prior notice
 
Course Aims

This course aims to introduce students to the principles and applications of data warehousing and data mining.  The components of a data warehouse, including data source and transformation tools, metadata management, query reporting and OLAP, will be analysed. A comprehensive introduction to different data mining techniques, including feature selection, predictive modelling, clustering, and association rule mining, will be provided. Students will also learn to develop solutions to data warehousing and data mining problems in different domains.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
 
Detailed Course Information

CS5483.pdf

Useful Links

Department of Computer Science