Visual Analytics (COMP5048)
UNIT OF STUDY
Information Visualisation aims to make good pictures of abstract information, such as stock prices, family trees, and software design diagrams. Well designed pictures can convey this information rapidly and effectively. The research challenge for Information Visualisation is to design and implement new algorithms that produce such pictures. Applications include visualisation of bioinformatics, social network, software visualisation and network visualisation. This unit will provide basic concepts, techniques and fundamental algorithms to achieve good visualisation of abstract information. Further, it will also provide opportunities for academic research and developing new methods for Information Visualisation.
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Further unit of study information
Lecture 2 hours per week, Tutorial 1 hour per week.
Through semester assessemnt (100%)
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
Assumed knowledge: It is assumed that students will have basic knowledge of data structures, algorithms and programming skills.
Prerequisites: Assumed knowledge: It is assumed that students will have basic knowledge of data structures, algorithms and programming skills.
Study this unit outside a degree
If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.Find a non-award course for this unit of study
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