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Unit of study_
OCMP5048: 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:
Computer Science
| Code | OCMP5048 |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
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None |
|---|---|
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Corequisites:
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None |
| Prohibitions:
?
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COMP5048 or COMP4448 |
| Assumed knowledge:
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Experience with data structures and algorithms as covered in COMP9123 or COMP9103 or COMP9003 or COMP2123 or COMP2823 or INFO1105 or INFO1905 (or equivalent UoS from different institutions) |
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
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1a 2023
|
Online | Online Program | |
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Semester 2b 2023
|
Online | Online Program |
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1b 2024
|
Online | Online Program |
Outline unavailable
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Semester 2b 2024
|
Online | Online Program |
Outline unavailable
|
There are no availabilities for previous years.
Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
