Faculty of Information Technology

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Monash University

Monash University Handbook 2011 Undergraduate - Unit

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

FacultyFaculty of Information Technology
OfferedGippsland First semester 2011 (Day)
Gippsland First semester 2011 (Off-campus)
Sunway First semester 2011 (Day)
Hong Kong First semester 2011 (Off-campus)
South Africa First semester 2011 (Day)


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.


At the completion of this unit students will have -
A knowledge and understanding of:

  • the motivation and the need for data mining;
  • characteristics of major components of the data mining process;
  • the basic principles of methods and operations for data mining;
  • case studies to bridge the connection between hands-on experience and real-world applications;
  • key and emerging application areas;
  • current major research issues.
Developed the skills to:
  • use data mining tools to solve data mining problems.


Examination (3 hours): 60%; In-semester assessment: 40%

Chief examiner(s)

Associate Professor Kai Ming Ting

Contact hours

2 hrs lectures/wk, 2 hrs laboratories/wk


FIT1004 or FIT2010 or equivalent


CSE3212, GCO3828

Additional information on this unit is available from the faculty at: