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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
COMP5048 or COMP4448
Assumed knowledge:
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 ? 
Semester 1b 2024
Online Online Program
Semester 2b 2024
Online Online Program
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 1a 2023
Online Online Program
Semester 2b 2023
Online Online Program

Modes of attendance (MoA)

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