Sonic and Visual Representation of Data
(GU6602/spring-2022)
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week 1 [1/20]
welcome to the class!
assignment: download and install the software we'll need for the class
week 2 [1/27]
basic principles/RTcmix1
RTcmix use and instrument overview, various parameters we can use
for sonification mapping
data scaling, normalizing, timing, mapping
week 3 [2/3]
RTcmix2/Processing/initial model data
simple chaotic equation mapping
for sonification mapping
coordination of audio and visual elements
week 4 [2/10]
model data
additional attractor equations/fractals
time and pitch
week 5 [2/17]
model data 2
generative systems (fractals, L-systems)
another strange attractor (Henon)
week 6 [2/24]
big data
range/constraints
local datasets
SPEAR data
Max/MSP data objects
plus special guest:
Mark Santolucito
week 7 [3/3]
live streams
local: brainwaves, biometric data
internet resources
week 8 [3/10]
special guests:
Ben Holtzman
Ryan Carter
------- spring break -------
week 9 [3/24]
ML/AI 1
very simple neural net
the ml.* (ml star) Max/MSP toolkit
PROJECT REPORTS
week 10 [3/31]
ML/AI 2
Max utility object overview
MuBu
live use of ML/AI
week 11 [4/7]
ML/AI 3
the Wekinator
Mubu (part 2)
week 12 [4/14]
special guests:
Pierre Tremblay
Ted Moore
week 13 [4/21]
special guest:
Federico Visi
week14 -- APRIL 28: CLASS PRESENTATIONS