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CS4483 - Data Warehousing and Data Mining

Offering Academic Unit
Department of Computer Science
Credit Units
3
Course Duration
One Semester
Pre-cursor(s)
Exclusive Courses:
Course Offering Term*:
Not offering in current academic year

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

This course aims to explore a new field and frontier in database systems, "data warehousing and data mining".  The principles, algorithms, methodology, and applications are introduced.  The components of data warehouse, including data source and transformation tools, metadata management, query reporting and OLAP are discussed.  The course also covers techniques and algorithms in data mining, including association rule mining, cluster analysis and data classification.

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

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.

A formative assessment will be made on the students’ ability to apply tools and knowledge to different situation. The equal weighting of coursework and examination assessment is due to the emphasis on both the practicality and the theory of data warehousing and data mining.
 
Detailed Course Information

CS4483.pdf

Useful Links

Department of Computer Science