- Code COMP8910
- Unit Value 6 units
- Offered by School of Computing
- ANU College ANU College of Engineering Computing & Cybernetics
- Course subject Computer Science
- Areas of interest Business Information Systems, Computer Science, Mathematics, Algorithms and Data, Artifical Intelligence
- Academic career PGRD
- Dr Kerry Taylor
- Mode of delivery In Person
Winter Session 2023
See Future Offerings
Massive amounts of data are collected by public and private organisations, while the Web offers rich information about almost every aspect of human life and society. Analysing such data can provide significant benefits to an organisation or research project. 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:
- 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 principal 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
You should be enrolled in the Master of Applied Data Analytics, the Graduate Diploma of Applied Data Analytics, or the Graduate Certificate of Data Engineering to undertake this blended intensive course.
Note: Non-MADAN, DADAN or GCDE students wanting to enrol are required to seek approval from their Program Convener.
- Regular formative quizzes (5) [LO 1,2,3,4,5,6,7]
- Written assignment: essay (15) [LO 1,6,7]
- Mid-course lab exam (20) [LO 1,2,3,4,5]
- Practical assignment: report (20) [LO 1,2,3,4,5]
- Final examination (40) [LO 1,2,3,4,5,6,7]
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Approx 130 hours
Requisite and Incompatibility
Mathematics, studied at Senior Secondary level
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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Offerings, Dates and Class Summary Links
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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|
|4660||07 Aug 2023||18 Aug 2023||18 Aug 2023||06 Oct 2023||In Person||N/A|