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.
Learning Outcomes
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
Other Information
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.
Indicative Assessment
- 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]
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
None.
Requisite and Incompatibility
Prescribed Texts
None
Assumed Knowledge
Mathematics, studied at Senior Secondary level
Fees
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.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
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.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2024 | $4980 |
- International fee paying students
| Year | Fee |
|---|---|
| 2024 | $6360 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
