CP3403 - Business Intelligence and Data Mining
| Credit points: | 03 |
| Year: | 2015 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Business, Law & Governance |
Students will be introduced in this subject to fundamental data mining and Business Intelligence (BI) concepts, technologies, and applications of BI to help firms gain a competitive advantage. Topics include data mining, data warehousing, business analytics, data visualisation, pre-processing, clustering, classification and association rules mining. Students will gain hands-on experience with popular data mining tools and develop skills in practical data mining and business analytics.
Learning Outcomes
- explain the notion of big data, information intelligence, data mining, data profiling, data cleaning and data integration and warehousing;
- analyse and apply data mining techniques and tools;
- examine the working principles of data mining and knowledge discovery in databases;
- relate business intelligence to data warehousing and data mining;
- assess the potential benefits, risks, issues and challenges associated with business intelligence and data mining.
| Prerequisites: | 6 CP OF CP SUBJECTS AND 12 CP OF SUBJECTS |
| Inadmissible Subject Combinations: | CP3300 CP5634 |
Availabilities | |
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 30-Jul-2015 | |
| Coordinator: | Dr Joanne Lee |
| Contact hours: |
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| Assessment: | end of semester exam (40%); test (20%); data mining practic (proposal and report) (40%). |
| Restrictions: |
An enrolment quota applies to this offering. |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.