DXARTS 490: Data-driven Art
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.
James Coupe [email@example.com]
Class mailing list
firstname.lastname@example.org (NOTE: you'll need to post email using your UW NetID email)
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)
- Homeworks: 35% (5% each)
- Final project: 40%
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.
The syllabus page shows a table-oriented view of the course schedule, and the basics of course grading. You can add any other comments, notes, or thoughts you have about the course structure, course policies or anything else.
To add some comments, click the "Edit" link at the top.