- Code COMP3420
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science, Information Technology, Software Engineering
- Academic career UGRD
- Dr Lexing Xie
- Mode of delivery In Person
First Semester 2014
See Future Offerings
This course examines the design of databases and data warehouses and their use for data mining; and investigates associated issues. Topics may include: relational theory and conceptual modelling; privacy and security; statistical databases; distributed databases; data warehousing; data cleaning and integration; and data mining concepts and techniques.
Upon successful completion, students will have the knowledge and skills to:
On completion of this course, the students should have gained a good understanding of basic concepts, principles and techniques in data warehousing and data mining. Specifically, the students are able to perform the following tasks.
- Perform data modeling
- Apply OLAP techniques for mulit-dimensional data analysis
- Apply datacubing techniques
- Develop general skill of data warehousing project management
- Obtain the general knowledge on the design and implementation of data warehouses
- Be able to apply data mining techniques for knowledge discovery
- Develop in-depth understanding of fundamental data mining algorithms
- Perform data mining in data warehouses.
Two assignments (40 marks); Final Exam (60 marks)
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.
Thirty one-hour lectures and six two-hour tutorials
Requisite and Incompatibility
The following text book will be used for this course:
- Jiawei Han, Micheline Kamber, and Jian Pei,Data Mining:Concepts and Techniques, 3rd edition, Morgan Kaufmann, 2011 http://www.cs.uiuc.edu/~hanj/bk3/
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. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. 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.
- Domestic fee paying students
- International fee paying students
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|3445||17 Feb 2014||07 Mar 2014||31 Mar 2014||30 May 2014||In Person||N/A|