DXARTS 490 A: Special Topics in Digital Arts and Experimental Media

Data-driven Art

Meeting Time: 
MW 11:30am - 2:20pm
Location: 
* *
SLN: 
13804
Instructor:
James Coupe
Tivon Rice Portrait
Tivon Rice
Note: 
This course will be taught remotely.

Syllabus Description:

DXARTS 490: Data-driven Art

A studio-based class in which students are introduced to making art using machine learning, databases, audio/video/textual corpora, remote/cloud-based data and metadata. The class considers the implications and possibilities of artists using such systems, looking at dynamic, algorithmic based approaches to composing with highly distributed collections of data. The class includes weekly discussion, lectures and labs.

https://washington.zoom.us/j/99794764432


Faculty

James Coupe [coupe@uw.edu]
Tivon Rice [tivon@uw.edu]

Office hours :  by appointment


Class mailing list

 dxarts490a_au20@uw.edu  (NOTE: you'll need to post email using your UW NetID email)

Assignments

See Assignments page. There are four homework assignments, a midterm,  and a final. Attendance at the final session is mandatory. Your grade will break down as described in the section below.

Grading

Grading of all assignments will be based upon the quality of concept, experimentation, work ethic and realisation. The overall class grade will be broken down as follows:

  • Participation: 25% (including lab assignments / in-class participation / reading)
  • Homework: 20% (5% each)
  • Midterm project: 20%
  • Final project: 35%

Any missed assignments will lower your grade at least a full letter grade, so it is VERY important that all work is completed. Everything in the class builds on previous work, so do not fall behind. Late work will not be accepted.

 

 

 

Additional Details:

A studio-based class in which students are introduced to making art using databases, audio/video corpuses, remote/cloud-based data and metadata. The class considers the implications and possibilities of artists using such systems, looking at dynamic, algorithmic based approaches to composing with highly distributed collections of data. The class includes weekly discussion, lectures and labs.

 

Catalog Description: 
Taught by UW faculty and visiting artists, engineers, scientists, and humanities scholars.
Credits: 
5.0
Status: 
Active
Last updated: 
June 28, 2020 - 9:02pm