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 7295: Information Visualization ("Special Topics in Data Visualization")
Time and Location: Mondays and Thursdays from 11:45am - 1:25pm in Snell Library 125
Instructor: Prof. Michelle Borkin (firstname.lastname@example.org), Office 310D WVH.
Teaching Assistant: Shweta Oak (email@example.com).
Office Hours: Mondays from 2:30pm - 3:30pm, or by appointment, with Prof. Borkin in WVH 310D & Tuesdays from 6:00pm - 7:00pm with Shweta in WVH 460A.
**Schedule is subject to change as guest lectures are incorporated into the lecture line-up.
Resources coming soon!