SEEM4113 - Data Mining | ||||||||||
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* 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 such as 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: 50% | ||||||||||
Examination: 50% | ||||||||||
Examination Duration: 2 hours | ||||||||||
Detailed Course Information | ||||||||||
SEEM4113.pdf | ||||||||||
Useful Links | ||||||||||
Department of Systems Engineering |