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MS4224 - Enterprise Data Mining

Offering Academic Unit
Department of Decision Analytics and Operations
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Pre-cursor(s)
Exclusive Courses:
Course Offering Term*:
Semester A 2024/25
Semester A 2025/26 (Tentative)

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

This undergraduate course introduces students to the fundamental concepts and techniques of data mining in business applications. It focuses on developing analytical skills to identify, formalize, and solve real-world problems using business intelligence. Students will learn to extract valuable insights from large datasets, make data-driven decisions, and apply various data mining algorithms to business scenarios. The curriculum covers key topics such as data preprocessing, classification, clustering, and association rule mining. Through hands-on projects and case studies, students will gain practical experience in applying these techniques to real business challenges. By the end of the course, participants will be well-prepared for positions in data modeling and business analytics in both commercial and government sectors, equipping them with skills applicable in local and global environments.


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

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 3 hours

Written Examination The exam will assess the students' understanding of the material learnt in the course and their ability to apply subject related knowledge.

 
Detailed Course Information

MS4224.pdf

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