Course Title: Data Visualisation
Course Description:
Many computing processes result in large, complex, time-dependent data sets. Over the past
three decades, the sizes of common data sets have exploded ranging from several gigabytes to
terabytes in size.
The exciting and vibrant field of visualisation is an increasingly important area due to its wide
range of applications in many disciplines. Data visualisation is vital in gaining an understanding of
large, complex data sets by exploiting the human visual system. Data visualisation leverages
modern computer graphics in order to provide a visual overview, explore, analyze, and present
phenomena which is often difficult to understand.
This course provides both a theoretical and practical introduction to data visualisation. We will
introduce information visualisation for abstract data.
Some of the topics we will discuss are:
purposes and goals of visualisation, applications, challenges, sources of data, data dimensionality,
time-dependent, data types.
Information visualisation topics Include: abstract data, hierarchical data and visualisation, focus
and context techniques, graphs and graph layouts, multi- and high-dimensional visualisation,
interaction techniques, linking and brushing.
On completion of this course, students will be able to:
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Analyse and identify the properties of abstract data
Identify appropriate visualisations and visualisation tools to represent abstract data
Identify available off-the-shelf visualization tools to work with in order to create their own
visualizations.
Target Audience: This course is aimed at students at any stage of research
Format of Delivery: Face to Face
Please remember to arrive on time for a course – places are limited and offered on a first come
first serve basis.
Don’t forget to keep a record of your attendance as this will count towards the Postgraduate
Research Skills Award