This course will cover foundational as well as contemporary topics of interest in information visualization to enable the effective representation of data across disciplines including examples drawn from computer science, physical sciences, biomedical sciences, humanities, and economics. Topics will include information visualization theory and methodology, visualization design and evaluation, visual perception and cognition, interaction principles, and data encoding and representation techniques.
CS 7280: Special Topics in Data Science (Information Visualization)
Time and Location: Wednesdays and Fridays from 11:45am - 1:25pm in Ryder Hall 153
Instructor: Prof. Michelle Borkin (email@example.com), Office 310D WVH.
Teaching Assistant: Britton Horn (firstname.lastname@example.org).
Office Hours: Tuesdays from 1:00pm - 2:00pm in Meserve 168 with Britton, and Wednesdays from 1:45pm - 2:45pm in 310D WVH or by appointment with Michelle.
**Schedule is subject to change as guest lectures are incorporated into the lecture line-up.