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 7250: Information Visualization: Theory and Applications
Time and Location: Mondays and Thursdays from 11:45am - 1:25pm in Ryder Hall 435
Instructor: Prof. Michelle Borkin (email@example.com), Office 302E WVH.
Teaching Assistant: Alex Ahmed (firstname.lastname@example.org).
Service-Learning Teaching Assistant: Mariella Hidalgo Del Alamo (email@example.com).
Office Hours: Wednesdays from 2:30pm - 3:30pm, or by appointment, with Prof. Borkin in WVH 302E.
Thursdays from ~1:45pm-2:45pm (immediately after class), or by appointment, with TA Alex Ahmed in WVH 302B.
**Schedule is subject to change as guest lectures are incorporated into the lecture line-up.