The unit is being created for inclusion in the core of the BITS major in Business Systems, consistent with the recommendations of the Faculty of IT review completed in 2004.

June 2017: Admin - Adding Reasons for Change - Updating exam hours from 3 to 2 hours as required by new University Examination procedures, effective S1 2018.

Amended workload and assessment for Sem 1, 2013 implementation. It aims to introduce "peer-instruction" by replacing lectures with more engaging activities in workshops. Students are required to view the 2012 MULO lecture recordings before coming to the class. Instead of lecture, students engage in discussion and presentation of a specific task each week, and also have the opportunity to ask questions on the weekly topic.

This will result the following changes:

* The percentage of exam reduces from 60% to 50%.

* The in-semester assessment increases from 40% to 50%, to include the assessment of the activities in workshops.

Instead of 2 hours lectures and 2 hours laboratories/tutorials per week, it will have 2 hours workshops (for the new activities) per week and 2 hours laboratories for six weeks.

Resource implication: MSA has 75 students in 2012. These students can be accommodated in two separate workshops per week. Because the 2-hour laboratories are run in six weeks only, the total number of contact hours for the proposed changes would be smaller than that in the existing offering. The total number of students in Gippsland and OCL is 20 in 2012. The proposed change has no resource implication in Gippsland.

04/11/2010: Amended pre-reqs for Sem 1,2011 implementation. FIT2010, a second year version of FIT1004, is included as an alternative pre-requisite unit. FIT1004 is an existing pre-requisite unit.

29/10/2009: This unit has been updated as part of a 2009 review and comparison of data with current Handbook, Syllabus + and Callista data.

This is a third level core unit in the Bachelor of Information Technology and Systems (BITS) major in Business Systems, and an elective in the Applications Development and Networks major.

On the completion of this unit, students should be able to:

• explain the motivation of data mining
• explain why data mining is needed
• explain the characteristics of major components of the data mining process;
• demonstrate the use of the basic data mining methods
• analyse case studies to bridge the connection between hands-on experience and real-world applications
• identify key and emerging application areas
• use data mining tools to solve data mining problems

029999

In the modern corporate world, data is viewed not only as a necessity for day-to-day operation, it is seen as a critical asset for decision making. However, raw data is of low value. Succinct generalisations are required before data gains high value. Data mining produces knowledge from data, making feasible sophisticated data-driven decision making. This unit will provide students with an understanding of the major components of the data mining process, the various methods and operations for data mining, knowledge of the applications and technical aspects of data mining, and an understanding of the major research issues in this area.

On-campus and Off-Campus Learning(OCL)

Examination (2 hours plus 30 minutes reading and noting time) 50%; in-semester: 50%.

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

(b.) Study schedule for off-campus students:

(c.) Additional requirements (all students):

FIT

On-campus requirements: a lecture theatre and a computer lab with Internet access. Off-campus learning: students are required to have a home computer with Internet access. This is the minimum requirement for all students enrolled in GSCIT courses by distance education. The required software tools are provided in one of the prescribed texts. Students can install the software at home with no additional cost. The vendor has agreed to supply the software in the laboratory free of charge.

FIT1004 or FIT2010 or equivalent