There are no specifically prescribed or recommended texts for this subject.
- Subject notes
LEARNING AND TEACHING METHODS
The subject is delivered in 3 hour classes. Each class will be made up of a combination of lectures, discussions and tutorial type activities. Outside class students will study the various aspects of data warehousing through prescribed readings.
INDICATIVE KEY LEARNING RESOURCES
All required readings are available via the LMS.
CAREERS / INDUSTRY LINKS
This subject is relevant to careers in data warehousing, data analysis, data mining, and information management. A guest lecturer will present at least one week’s worth of materials about data warehousing in industry.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Philosophy - Engineering Course Master of Data Science Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Information Systems Course Master of Information Systems Course Master of Information Systems Specialisation (formal) Spatial Major MIS Research Specialisation Specialisation (formal) Health Major MIS Health Specialisation Major MIS Professional Specialisation
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
Last updated: 3 November 2022