A lecture, lab & project course to explore the visual organization and representation of information. The course will address 3 ways to represent data visually: Linear, 2D, and 3D dimensional visual representation. Lectures and readings will focus on a range of conceptual models of data visual mapping as implemented in various disciplines, artistic, statistical and scientific, that are used to represent information visually. 

Topics will include: Metadata, systems of classification, basics of visual design and narrative, various mapping and visualization algorithms. Technical lab demonstrations will concentrate on Java, OpenGL, and Processing. Some programming experience is desirable to easily follow Thurs lab demos and assignments.