This module is offered in 2016-17.

Aims

  • To provide an overview of the area of information visualisation and how it is applied in different professional and casual contexts.
  • To introduce the principles and methods of creating effective information visualisations.
  • To allow students to experiment with different ways of visualising data in a hands-on way.
  • To provide the skills to critically assess existing visual displays of data.

Learning Outcomes

On successful completion of this module, the student should:

  • Be able to design and justify the design of a visual representation of a given data set.
  • Be able to critically assess the design of a data visualisation based on the nature of its underlying data, targeted audience, and general purpose.
  • Be able to make use of existing low- and high-level visualization toolkits to create effective information visualisations.
  • Be able to communicate and document their visualisation design process and outcomes.

Syllabus

  • The purpose and principles of information visualisation and visual analytics.
  • What to visualise: data types, datasets and attributes.
  • How to visualise information: visual variables and perception.
  • Why to visualise information: actions, tasks, and goals.
  • Basic visualisation techniques.
  • Interaction design: facilitating interactive analysis and exploration.
  • Visualisation toolkits.
  • Application areas.
  • Evaluation of information visualisations.

Compulsory Elements

This module has no compulsory elements beyond those common to all modules (mark of 4 in each assessment component).

Module Delivery

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Last Published: 01 Mar 2017.