2004S 


AESTHETICS OF VISUAL NOISE The goal of this semester's research and work will be to collect data, examine, extract and synthesize meaning out of noise and create projects based on, or using noise. Lectures will focus on an introduction to topics related to noise such as Information Theory, Brownian motion, Gaussian distribution, weather patterns (Chaos Theory), image processing algorithms, expressions of noise in nature and art. Students' work will include research, data collecting, and projects based on topics covered in the lectures. 



T 3.29  Course Overview  
Noise and Information Definitions 



Th 4.1 
Technical Introduction to Noise 


Visual and algorithmic examples 



T 4.6  Examples of Visual Noise 

Student Research Project 
Random Walk,
Noboru Matsuo Presentation of student noise images 



Th 4.8  Lab 



T 4.13 
Urban Signals and Data in Visual Noise 

Readings GL Projects on Noise 
Russolo's Art of Noise [2][3][4][5] (Futurism, 1913) Urban
Nature 



Th 4.15  Lab (Demos in processing.org) 



T 4.20 
Individual Lab 

Project 
Student lab work on project 



Th 4.22 Project 
Individual Lab 

Student Sample Codes

Michael Bevry, BoxWalk 
Eric Keshishian, Box[1][2] Emily Landsman, Rainbow Susan Luc, Speeding Bars Maggie Martinez, Headlines Noboru Matsuo Ben Meyers, Lines 
Ben Reynolds, Brownian
Joe R, ClickBox Erland Sandborn, CamMotion James Shiau Wesley Turner 



T 4.27 
Noise Simulations in 3D, Mapping Noise Christian Moeller Projects After the Storm visualization, NSCA BOIDS, Algorithmic Simulations (Craig Reynolds) 



Th 4.29 
Lab 



T 5.4 
Research Plan & Work for Final Project 



Th 5.6  Individual Lab 



T 5.11 
Kohonen  SelfOrganizing
Algorithm Timo Honkela Natural Language Processing Pockets Full of Memories 



Th 5.13 Project 
Lab 



T 5.18 
Vision
& Image Understanding Lab Miguel Eckstein, Psychology 



Th 5.20  Lab 



T 5.25 
Cellular Automata NKS, Wolfram 



Th 5.27  Lab 



T 6.1 
Artificial Life 



Th 6.3  Lab 



T 6.8 
Review of CourseWork 



Th 6.10  Final Project Presentation Documentation Reports Due 



Other References 
Markov Chains Gaussian Distribution Nobuo's Ising Model Research Fibonacci Sequences 
