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Unit of Study COMP6009 - Topics in Big Data Analytics (2024)

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Unit Snapshot

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Unit description

Familiarises students with the contemporary issues, methods, tools and techniques to perform big data analytics. Focuses heavily on research-based learning where students will perform a literature review to identify and subsequently master the state-of-the-art in big data analytics.

Unit content

Module 1: Contemporary issues in big data analytics

Module 2: Advanced methods in big data analytics

Module 3: Advanced big data analytics tools and techniques

Module 4: Designing advanced big data analytics solutions

Module 5: Evaluating big data analytics solutions

Module 6: Research directions in big data analytics

 

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Not currently available in 2024

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