COURSES >>>

SEEM4113 - Data Mining

Offering Academic Unit
Department of Systems Engineering and Engineering Management
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Not offering in current academic year

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

This course aims at providing students the knowledge of classical data mining algorithms including algorithms in clustering and classification as well as training students to interpret and communicate data mining results. Students will learn to use software packages including R,  Weka and Statistica to apply data mining algorithms, develop data-driven models, and conduct analyses.

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

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
 
Detailed Course Information

SEEM4113.pdf

Useful Links

Department of Systems Engineering and Engineering Management