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Unit of Study COMP6009 Topics in Big Data Analytics (2025)

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Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

discuss theoretical concepts, methods and applications of big data

identify, analyse and communicate contemporary issues in big data analytics to stakeholders

develop an in-depth theoretical understanding of a contemporary topic in big data analytics

develop advanced algorithms and prototypes to demonstrate contemporary big data analytics techniques

Teaching and assessment

Teaching method
Workshop 1 (weekly)
Tutorial 2 (weekly)
Assessment
Report20%
Practical50%
Literature review30%

Teaching method
Workshop 1 (weekly)
Tutorial 2 (weekly)
Assessment
Report20%
Practical50%
Literature review30%

Prescribed learning resources

Prescribed Texts
  • Prescribed text information is not currently available.
Prescribed Resources/Equipment
  • Prescribed resources/equipment information is not currently available.

Prescribed Learning Resources may change in future Teaching Periods.

Fee information

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