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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Co-requisites

have successfully completed or be enrolled in ISYS2002 - Data Wrangling and Advanced Analytics

Unit aim

Teaches students the tools and strategies to present data analytics insight in a clear and accessible manner to aid decision-making. Focuses heavily on practice-based learning where students repeat the cycle of practice, feedback and reflection. 

Unit content

1. Fundamentals of data visualisation
2. Design effective visualisation
3. Basic data visualisation methods
4. Advanced data visualisation methods
5. Storytelling with data visualisation
6. Effective communication
 
 

 

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:
1 compare and contrast different data visualisation methods
2 design effective data visualisations for multiple stakeholders
3 develop data visualisations by applying contemporary visualisation libraries and tools
4 design and tell compelling stories to effectively communicate with stakeholders

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

  1. compare and contrast different data visualisation methods
  2. design effective data visualisations for multiple stakeholders
  3. develop data visualisations by applying contemporary visualisation libraries and tools
  4. design and tell compelling stories to effectively communicate with stakeholders