The class will begin with Barney's introduction to the Max/MSP/Jitter world. Steve will provide mathematical contextualization. As the course progresses there will be lectures on the mathematics of sound and image in Max.
Represent a Data Set in Sound and Image. The original data should be of scientific or mathematical interest, but your machine should be able to process a variety of data sources. There should be multiple sonic and visual representations, at least three sound models and three image models.
Generate sound and image through algorithms of your devising. This machine must have the following modes: automatic (both random and non-random), interactive, record/playback. Interactivity may be in response to direct user interaction and/or to data-ification of environmental incidence (e.g., sensors, video tracking ...)
Proposal/Research due by Midterm.
To propose: self-directed research project. This will explain and justify your final creative work.
Some questions you could answer: How is your final project mathematical? Place your project in it's context. Look at the historical and social development of the mathematics that inform your final project. Who are your precedents? Where did they get the math? Did they love math? Did the understand it?
Another approach: A person, a place, a theory & it's implications elsewhere (outside of "math") and/or today.
Must include a Web bibliography.
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