Credit Points 10

Legacy Code 301112

Coordinator Zhonglin Qu Opens in new window

Description This subject introduces the fundamentals and technologies of information visualisation. It covers the major concepts of information visualisation, human-computer perception and methods for visual data analysis. Students will learn the knowledge and skills required for identifying suitable visualisation techniques and tools appropriate for various data types and applications. The subject provides students with opportunities to explore recent research in the visualisation field.

School Computer, Data & Math Sciences

Discipline Computer Science

Student Contribution Band HECS Band 2 10cp

Level Postgraduate Coursework Level 7 subject

Incompatible Subjects MATH 2014 Visual Analytics

Restrictions

Students must be enrolled in a postgraduate program.

Assumed Knowledge

Familiarity with computer software programs, such as Microsoft Office.

Learning Outcomes

On successful completion of this subject, students should be able to:

1. Explain the purpose of information visualisation
2. Identify strengths, limitations and opportunity of visualisation techniques
3. Evaluate common visualisation techniques for relational data, multi-dimensional data and spatio-temporal data
4. Analyse interaction methods in visualisation
5. Apply common visualisation tools for data analysis
6. Evaluate visual analytics technologies and tools for data analysis

Subject Content

Information visualisation including main concepts and overview
Visual mappings and visual perception
Trees and graphs visualisation
Multi-dimensional data visualisation
Spatio-temporal data visualisation
Interaction
Using visualisation and tools to understand data
Visual Analytics