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22502 : Data and Algorithm in Art

Description: An introduction to the use of data sources and algorithmic methods in visual art, this course explores the aesthetic and theoretical possibilities of computational art-making. Focusing on the diverse and ever expanding global data-feed, we will craft custom software processes to create works investigating the visual transformation of information. Additionally, software programming may be deployed independently, without a connection to source material. While placing an emphasis on creating new work, we will also survey the history of this type of art practice.

Instructor(s): Jason Salavon

Offered: Spring 2019

Category: Practice

Cluster(s): Network Art, Creative Computing