Data Visualisation
48 hours face to face + Blended
One Semester or equivalent
Hawthorn, Online
Available to incoming Study Abroad and Exchange students
Overview
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.
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Learning outcomes
Students who successfully complete this unit will be able to:
- Critically evaluate data visualisations and propose improvements based on an understanding of human perception and cognition and data visualisation design principles
- Apply a structured design process to create effective visualisations
- Conceptualise and iterate data visualisation designs using sketching and low fidelity prototyping techniques
- Create web-based interactive data visualisations using a real-world data set
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
On-campus Lecture | 2.00 | 12 weeks | 24 |
On-campus Class | 2.00 | 12 weeks | 24 |
Unspecified Activities Independent Learning | 8.50 | 12 weeks | 102 |
TOTAL | 150 |
All Applicable Locations
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Online Directed Online Learning and Independent Learning | 12.50 | 12 weeks | 150 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Assignment | Individual | 10 - 20% | 1 |
Project | Individual/Group | 60 - 80% | 1,2,3,4 |
Tutorial Exercises | Individual | 10 - 20% | 2,4 |
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)
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.