- Code COMP8410
- Unit Value 6 units
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.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of this course, students will:
Critically analyse and justify the steps involved in the data mining process,
Anticipate and identify data issues related to data mining,
Research, test and apply the principle algorithms and techniques used in data mining,
Justify suitable techniques to use for a given data mining problem,
Appraise and reflect upon the results of a data mining project using suitable measurements,
Investigate application areas and current research directions of data mining,
Reflect upon ethical and social impacts of data mining.
If you believe you meet the pre-requisites for this course through alternative means, please contact firstname.lastname@example.org to apply for an exemption.
Written and practical assignments (40% each) - LO 1 to 5
Oral presentation and report (20%) - LO 6 and 7
Final examination (40%) - LO 1 to 7
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Requisite and Incompatibility
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:
- 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.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|5689||29 May 2017||02 Jun 2017||16 Jun 2017||28 Jul 2017||In Person||N/A|