• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject Computer Science
  • Academic career Postgraduate
  • Mode of delivery Online or In Person
  • Co-taught Course COMP3425
  • Offered in First Semester 2018
    Winter Session 2018
    See Future Offerings

Massive amounts of data are being collected by public and private organisations, and research projects, while the Internet provides a very large source of information about almost every aspect of human life and society. Analysing such data can provide significant benefits to an organisation. This course provides a practical focus on the technology and research in the area of data mining. It focuses on the algorithms and techniques and less on the mathematical and statistical foundations.

Learning Outcomes

Upon successful completion of this course, students will:

  1. Critically analyse and justify the steps involved in the data mining process,

  2. Anticipate and identify data issues related to data mining,

  3. Research, test and apply the principal algorithms and techniques used in data mining,

  4. Justify suitable techniques to use for a given data mining problem,

  5. Appraise and reflect upon the results of a data mining project using suitable measurements,

  6. Investigate application areas and current research directions of data mining,

  7. Reflect upon ethical and social impacts of data mining.

Other Information

If you believe you meet the pre-requisites for this course through alternative means, please contact dataanalytics.cecs@anu.edu.au to apply for an exemption.

Indicative Assessment

Written and practical assignments (40%)  - LO 1 to 7

Regular quizzes (5%) – LO 1 to 7

Mid-course Lab exam (20%) – LO 1 to 7

Final examination (35%) - LO 1 to 7

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Requisite and Incompatibility

To enrol in this course you must have successfully completed COMP7240 or COMP6240 or COMP2400. You are not able to enrol in this course if you have previously completed COMP3420, COMP3425 and COMP8400.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
4887 19 Feb 2018 26 Feb 2018 31 Mar 2018 25 May 2018 In Person

Winter Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
6833 01 Jul 2018 TBA TBA 30 Sep 2018 In Person

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