Module Descriptor School of Computer Science and Statistics
|Module Name||Data Visualisation|
|Module Short Title|
2 lecture hours per week
|Module Personnel||Assistant Professor John Dingliana|
Students who complete this module should be able to:
This module aims to equip the student with the knowledge and tools to visualise data in ways that give insight and understanding. The module looks at all of the elements, beginning with a study of how we perceive and understand visual scenes, that inform principles of good visualisation design, through to the hardware and software that allow these visualisations to be implemented. The student who completes the module should be able to decide on the best visualisation for the data and research question at hand, and then implement in the best way possible.
Specific topics addressed in this module include:
|Recommended Reading List|
Visualization – Analysis and Design. Tamara Munzner. AK Peters / CRC Press. 2014
Coursework will consist of shorter assignments during the first half of the semester and a final individual project that integrates all the elements of the module.
Assessment in the Supplemental session will be based on 100% coursework.
|Academic Year of Data||2017/18|