COS30045
Data Visualisation
Semester 1 2025
PART A: Unit Summary
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Unit Code(s)
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COS30045
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Unit Title
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Data Visualisation
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Duration
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12 weeks
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Total Contact Hours
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36 hours
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Requisites:
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Pre-requisites
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COS10009 Introduction to Programming
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Co-requisites
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None
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Concurrent pre- requisites
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None
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Anti-requisites
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None
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Assumed knowledge
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None
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Credit Points
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12.5
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Campus/Location
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Hawthorn
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Mode of Delivery
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Blended
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Assessment Summary
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Project
Assignment
Laboratory and Design Exercises
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Aims
This unit aims to instruct students on the fundamental principles of information visualisation, and good design practices. It will examine and describe in detail main types of information graphics and visual representations for variety of applications.
Unit Learning Outcomes
Students who successfully complete this unit can:
1. Analyse datasets to determine appropriate visualisation types and methods based on user needs and the data's characteristics.
2. Assess the effectiveness of data visualisations in terms of accuracy, user needs, adherence to design guidelines, aesthetics and usability, and recommend improvements.
3. Create web-based interactive data visualisations using real world data sets that communicate key insights.
4. Evaluate visualizations for ethical considerations, such as data privacy, representation, and potential biases, ensuring responsible and ethical use of data
Graduate Attributes
The Swinburne Graduate Attributes describe the capability of our graduates to use knowledge, skills and behaviours to contribute to society meaningfully and positively. They include professional, self-directed learning and future-ready skills.
This unit contributes to the development of the following Swinburne Graduate Attributes:
GA2 Communication using different media
GA5 Information literacy
Other graduate attributes may be practised in the unit but are not formally taught as part of the unit content, nor incorporated within formal assessment.
Content
Introduction to data visualisation
Brief history of data visualisation
Data visualisation design guidelines, graphical integrity
Visual variables: marks and channels
Visualisation critique
Analysis of user tasks in visualisation usage
Data sets and types
Interaction: Manipulating view, Filtering
Arranging Tables, Graphs and Maps
Colour theory
Human perception and cognition
User research
Introduction to Data Driven Documents (D3)