units

FIT3002

Faculty of Information Technology

18 September 2017 22 November 2024
Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

To find units available for enrolment in the current year, you must make sure you use the indexes and browse unit tool in the current edition of the Handbook.

LevelUndergraduate
FacultyFaculty of Information Technology
OfferedGippsland First semester 2013 (Day)
Gippsland First semester 2013 (Off-campus)
Sunway First semester 2013 (Day)
South Africa First semester 2013 (Day)

Synopsis

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.

Outcomes

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.

Assessment

Examination (3 hours): 50%; In-semester assessment: 50%

Chief examiner(s)

Associate Professor Kai Ming Ting

Contact hours

2 hr workshop/wk, 2 hrs laboratories for 6 wks

This unit applies to the following area(s) of study

Business systems

Prerequisites

FIT1004 or FIT2010 or equivalent

Prohibitions

CSE3212, GCO3828

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

http://www.infotech.monash.edu.au/units/fit3002