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MA6633 - Statistical Modelling for Data Mining

Offering Academic Unit
Department of Mathematics
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2024/25

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

This course will aim to provide the student with mathematical foundation and statistical knowledge of data mining and machine learning techniques. Particular focus will be on the fundamental statistical properties and analysis of many popular techniques for learning, classification and prediction. The topics covered in this course will include elements of the following:  Bayesian decision theory, model selection, linear Models for regression and classification, Bayesian networks, decision trees, association rule mining, and clustering.


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

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

MA6633.pdf

Useful Links

Department of Mathematics