CP5634 - Business Intelligence and Data Mining

Credit points:	03
Year:	2015
Student Contribution Band:	Band 2
Administered by:	College of Business, Law & Governance

This subject focuses on advanced data mining techniques for business intelligence. It provides an in-depth coverage of the need for big data analysis, data warehousing, business analytics, predictive methods, scalability considerations, data visualisation, and data mining techniques. Students will gain hands-on experience with various data mining tools and embedding data mining in business solutions.

Learning Outcomes

• assess the potential benefits, risks, issues and challenges associated with business intelligence and data mining;
• explain the importance of big data analysis and data mining;
• identify and critically evaluate data mining techniques and tools;
• compare and evaluate appropriate techniques for clustering, classification and association rules mining;
• explore and analyse data mining patterns for business intelligence.

Inadmissible Subject Combinations:

CP3300 CP3403 CP5605

Availabilities
Townsville, Internal, Study Period 2
Census Date 27-Aug-2015
Coordinator:	Dr Joanne Lee
Lecturer:	Dr Hossein Ghodosi.
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
Townsville, Internal, Study Period 1
Census Date 26-Mar-2015
Coordinator:	Dr Joanne Lee
Lecturer:	Dr Hossein Ghodosi.
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
Cairns, Internal, Study Period 2
Census Date 27-Aug-2015
Coord/Lect:	Dr Joanne Lee.
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
Cairns, Internal, Study Period 1
Census Date 26-Mar-2015
Coord/Lect:	Dr Joanne Lee.
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
JCU Singapore, Internal, Study Period 52
Census Date 30-Jul-2015
Coordinator:	Dr Joanne Lee
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
Restrictions:	An enrolment quota applies to this offering.
JCU Singapore, Internal, Study Period 53
Census Date 26-Nov-2015
Coordinator:	Dr Joanne Lee
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
JCU Brisbane, Internal, Study Period 22
Census Date 13-Aug-2015
Coordinator:	Dr Joanne Lee
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
JCU Brisbane, Internal, Study Period 23
Census Date 10-Dec-2015
Coordinator:	Dr Joanne Lee
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).
JCU Brisbane, Internal, Study Period 21
Census Date 02-Apr-2015
Coordinator:	Dr Joanne Lee
Contact hours:	26 hours lectures 12 hours practicals 6 hours workshops/Seminars
Assessment:	end of semester exam (40%); other exams (20%); data mining practice (40%).

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.