Data Visualisation
Duration
- One Semester or equivalent
Contact hours
- 48 hours face to face + Blended
On-campus unit delivery combines face-to-face and digital learning.
Prerequisites
COS10009 Introduction to ProgrammingAims and objectives
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 should be able to:
1. Critically evaluate data visualisations and propose improvements based on an understanding of human perception and cognition and data visualisation design principles.
2. Apply a structured design process to create effective visualisations.
3. Conceptualise and iterate data visualisation designs using sketching and low fidelity prototyping techniques.
4. Create web-based interactive data visualisations using a real-world data set.
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
Type | Hours per week | Number of Weeks | Total |
Face to Face Contact Lecture | 2 | 12 | 24 |
| Tutorial Labs (Computer Lab) | 2 | 12 | 24 |
Unspecified Learning Activities Independent Learning | 8.5 | 12 | 102 |
TOTAL | 150 hours |
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Assignment | Individual | 10-20% | 1 |
| Tutorial Exercises | Individual | 10-20% | 2,4 |
| Project | Individual | 60-80% | 1,2,3,4 |
As the minimum requirements of assessment to pass the unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:
(i) An aggregate mark of 50% or more, and
(ii) Obtain at least 40% in the final exam
Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
General skills outcomes
Content
• 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
• Introduction to Data Driven Documents (D3)
Study resources
- Reading materials.
Reading materials
A list of reading materials and/or required texts will be made available in the Unit Outline.