6 points, SCA Band 2, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- First semester 2019 (On-campus)
- First semester 2019 (Evening)
- Second semester 2019 (On-campus)
or FIT5132 or FIT9003 or equivalent
This unit is intended to provide students with a framework for understanding business intelligence systems as well as the provision of high quality, integrated data for decision support through data warehousing. The unit has a particular focus on the evolutionary process of developing a business intelligence system and multi-dimensional modelling for structuring business intelligence data. The unit also presents students with coverage of several important aspects of business intelligence and data warehousing, including architecture, design, implementation, data sourcing, organisational issues and governance. The unit will present this material using relevant research, case studies and practical exercises. Students will develop a prototype business intelligence system using a business intelligence software package.
On successful completion of this unit, students should be able to:
- describe the scope and application of data warehousing
- design data warehousing systems
- design multidimensional data models using star schemas
- implement data warehousing in relational databases
- use OLAP in SQL
- explain the need for data warehousing architecture
- explain query optimisation and its impact on multi-dimensional design
Examination (2 hours): 50%; In-semester assessment: 50%
Minimum total expected workload equals 12 hours per week comprising:
- Contact hours for on-campus students:
- 2 hours of lectures
- One 2-hour laboratory
- Study schedule for off-campus students:
- Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.
- Additional requirements (all students):
- A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.
See also Unit timetable information