CP3403 - Data Mining
Credit points: | 03 |
Year: | 2019 |
Student Contribution Band: | Band 2 |
Administered by: |
Students will be introduced in this subject to fundamental data mining and big data concepts, technologies, and applications. Topics include data mining, data warehousing, big data 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 big data 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 intelligence informatics to data warehousing, big data and data mining;
- assess the potential benefits, risks, issues and challenges associated with big data and data mining.
Prerequisites: | 6 CP OF CP SUBJECTS AND 12 CP OF SUBJECTS |
Inadmissible Subject Combinations: | CP3300 CP5634 |
Availabilities | |
Townsville, , Study Period 1 | |
Census Date 28-Mar-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%). |
, Study Period 1 | |
Census Date 28-Mar-2019 | |
Contact hours: |
|
Assessment: | end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%). |
Cairns, , Study Period 1 | |
Census Date 28-Mar-2019 | |
Contact hours: |
|
Assessment: | end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%). |
JCU Singapore, , Study Period 51 | |
Census Date 11-Apr-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%). |
JCU Singapore, , Study Period 52 | |
Census Date 08-Aug-2019 | |
Contact hours: |
|
Assessment: | end of semester exam (40%); assignment 1 (30%); practicals (20%); presentation (10%). |
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.