Unit of Study COMP6007 Big Data Visualisation and Storytelling (2024)

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Unit Snapshot

Unit type

PG Coursework Unit
Credit points

12
Faculty & College

Faculty of Science and Engineering
Placement

No

Unit description

Equips students with the methods, tools and techniques to present big data analytics insight in a clear and compelling manner to aid decision-making. Focuses heavily on practice-based learning where students repeat the cycle of practice, feedback and reflection.

Unit content

Module 1. Big data visualisation methods

Module 2. Design effective visualisation for big data

Module 3. Big data visualisation libraries and tools

Module 4. Big data visualisation development

Module 5. Storytelling with data visualisation

Module 6. Effective communication

Availabilities

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:

compare and contrast big data visualisation methods

design effective big data visualisations for multiple stakeholders

develop big data visualisations by applying contemporary visualisation libraries and tools

design and tell compelling stories to effectively communicate with stakeholders

Fee information

Domestic

Commonwealth Supported courses
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For postgraduate or undergraduate full-fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees.

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