CS5483 - Data Warehousing and Data Mining

Offering Academic Unit
Department of Computer Science
Credit Units
Course Duration
One semester
CS3402 or CS5481 or equivalent
Course Offering Term*:
Semester B 2018/19

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

The course introduces the subject of automatic/semi-automatic knowledge discovery from data. It gives an overview of the principles and applications of supervised/unsupervised learning, and reinforces the concepts with hands-on experience using some state-of-the-art software. The students will learn to apply different learning algorithms and evaluate them with appropriate statistical performance metrics and techniques that avoid overfitting. Students will also learn how corporations manage their data with dimensional models and OLAP for simple and fast data analysis.

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

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


Useful Links

Department of Computer Science