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Unit of study_
COMP4448: Visual Analytics
2024 unit information
Visual Analytics aims to facilitate the data analytics process through Information Visualisation. 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 challenge for Visual Analytics is to design and implement effective Visualisation methods that produce pictorial representation of complex data so that data analysts from various fields (bioinformatics, social network, software visualisation and network) can visually inspect complex data and carry out critical decision making. This unit will provide basic HCI concepts, visualisation 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 Visual Analytic methods.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Undergraduate |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
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(COMP2123 or COMP2823) and 126 credit points |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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COMP5048 OR OCMP5048 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. select appropriate visual variables, space utilisation methods, and levels of organisation of visual components, to depict complex data
- LO2. select, apply, and modify visualisation methods suited to a given problem domain, in order to facilitate data analytic process through visual inspection
- LO3. understand basic computational concepts, techniques, and algorithms to produce good visualisation of abstract data
- LO4. understand the basic human-computer interaction principles, which influence the production of good/effective visualisation
Unit availability
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Modes of attendance (MoA)
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