EMDA 331 - The Art of Data

1-4 credits
Explores the visual representation of data through a series of hands-on projects. Develops skills to represent and interpret complex datasets in a variety of ways including static and dynamic visualizations, sonification, and alternative modalities. Lecture topics include relevant visual theory, design theory, database aesthetics, and the interplay between art and science. Approved for University Studies Integration-Strand H (Science, Technology, and Society). Repeatable for a maximum of 16 credits. Prerequisite(s): EMDA 203 or EMDA 204 or CS 200 or CS 210 or CS 256 or instructor permission.
Grade mode designated on a CRN basis each term. Students should consult current term schedule.