Course Description
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Course Name
Data Visualisation
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Host University
University of Roehampton
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Location
London, England
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Area of Study
Computer Science
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Language Level
Taught In English
Hours & Credits
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Overview
Data Visualisation explores the art and science of visual descriptive statistics. The module starts by introducing the principles of data visualisation and the process of visualisation design. Visualisation design then plays an important role throughout the module, as the students are introduced to the perceptual and cognitive foundations of visualisation, and the core visualisation techniques for different types of data. The module concludes by examining how visualisations can be evaluated via user studies and using the results the students gather from these studies in a further data reporting scenario.
Data Visualisation also incorporates web development as the interactive visualisations developed will be presented via a web platform. Students will develop their visualisations using a suitable web framework and deploy their visualisations appropriately. The web development aspect will require students to apply both front-end and back-end development processes to present the data stored.
Data Visualisation provides the capstone to the core Data theme in Computer Science. It builds on the statistical techniques and data presentation ideas provided in Data Science. The module allows students to present the results processes the techniques of Data Science, considering different delivery scenarios such as business reporting, data journalism, and scientific visualisation. The aim is to ensure students understand how to present their results in both a correct and engaging manner.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.