FIT3179 · Data visualisation

Overview

Data visualisation is a powerful technique that allows us to use our visual system to understand data. Interactive data visualisation is now common in business, engineering and design and the social and physical sciences. This unit introduces the main kinds of information graphics and interactive visualisation systems and their areas of application. It investigates the reasons why visualisation can be effective and based on this you will gain experience in critically assessing data visualisations and in designing your own visualisations. You will learn how to create visualisations with representative computer tools and gain experience in creating a data visualisation for an application domain of their choice.

Areas of study: Business analytics Computational science Data science Digital humanities

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Critically analyse data visualisations;
2. Create effective data visualisations;
3. Describe the main applications of data visualisation in business, engineering and design, and the social and physical sciences;
4. Describe the advantages, drawbacks and pitfalls of the visual presentation of data as compared to its presentation using other media.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Student experience, not official rules. Nothing here changes what the Handbook says.