• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Kerry Taylor
    • Graham Williams
  • Mode of delivery Online or In Person
  • Co-taught Course
  • Offered in First Semester 2020
    Winter Session 2020
    Spring Session 2020
    See Future Offerings

Note: Non-DADAN/MADAN students wanting to enrol in the non-standard session offerings are required to seek approval from their Program Convener.

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, students will have the knowledge and skills to:

  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

Note: Non-DADAN/MADAN students wanting to enrol in the non-standard session offerings are required to seek approval from their Program Convener.

Indicative Assessment

  1. Written and practical assignments (40%) - LO 1 to 7 (40) [LO null]
  2. Regular quizzes (5%) — LO 1 to 7 (5) [LO null]
  3. Mid-course Lab exam (20%) — LO 1 to 7 (20) [LO null]
  4. Final examination (35%) - LO 1 to 7 (35) [LO null]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. 

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.

Workload

Approx 130 hours

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed COMP7240 or COMP6240 or COMP2400; and COMP6730 or COMP7230 or COMP6710. You are not able to enrol in this course if you completed COMP3420 or COMP3425 or COMP8400

Prescribed Texts

None

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:
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
Domestic fee paying students
Year Fee
2020 $4320
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4565 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person N/A

Winter Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
6662 10 Aug 2020 21 Aug 2020 21 Aug 2020 09 Oct 2020 In Person N/A

Spring Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
GCDE Intensive
9627 28 Sep 2020 04 Oct 2020 09 Oct 2020 06 Nov 2020 Online N/A

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