Stony Brook University 3 credits CSE
This course is an introduction to both the foundations and applications of visualization and visual analytics, for the purpose of understanding complex data in science, medicine, business, finance, and many others. It will begin with the basics - visual perception, cognition, human-computer interaction, the sense-making process, data mining, computer graphics, and information visualization. It will then move to discuss how these elementary techniques are coupled into an effective visual analytics pipeline that allows humans to interactively think with data and gain insight. Students will get hands-on experience via several programming projects, using popular public-domain statistics and visualization libraries and APIs. 3 credits Prerequisite: CSE 214 or CSE 260 ; MAT 211 or AMS 210 ; AMS 110 or AMS 310 ; CSE or ISE or DAS major
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