(3 credits) 3 hours lecture, 1 hour tutorial
This course provides an introduction to the underlying theory and practical concepts in data visualization. A number of topics pertaining to data will be covered, including types of data, its acquisition, representation, storage and access, as well as various forms of data analysis. The foundations of visualization and consequent design principles will be presented. Current examples and case studies in data visualization will be examined, with particular emphasis on scientific applications.
Prerequisite: Computer Science 2008 with a minimum grade of C-.