2004S


ARTS 102 Aesthetics of Visual Noise(4 units)
Instructor: George Legrady
legrady [a] arts.ucsb.edu

Tues-Thurs 10:00-12:50 pm, E-studio
    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
Course focus on research and production
Th 4.1
  

Technical Introduction to Noise



Project

Visual and algorithmic examples

10 digital images of noise, list of 15/20 of what is visual noise
T 4.6 Examples of Visual Noise

Student Research



GL Projects on Noise

Project

Random Walk, Noboru Matsuo
Effects of Randomness on Noise, E.Anthony Giron
Noise, James Shiau

Sensing Speaking Space

Presentation of student noise images
Th 4.8  

Lab
Introduction to Processing (Eric)
Pulsar Generator, Curtis Roads
T 4.13
   Urban Signals and Data in Visual Noise

Readings

GL Projects on Noise





Project

Russolo's Art of Noise [2][3][4][5] (Futurism, 1913)

Urban Nature
Noise-to-Signal
Between East & West
Weather Patterns (Mark Bajuk video)
The Central City (by Stanza)

Visual Noise project (in processing)
Th 4.15  

Lab (Demos in processing.org)

Brownian Motion
Cellular Automata
Uli Schmidts' random demos
T 4.20
   Individual Lab

Project

Student lab work on project
Th 4.22

Project 		 

Individual Lab

Processing project Presentation

Student Sample Codes

 

Michael Bevry, BoxWalk
Trevor Chambers, Sym
Jack Chu
Paul Dimalanta, Clover
Anthony Giron, Stars
Eugenia Huang, Brownian

 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

Project

  

Lab

Processing project II - Integrate 3 or 4 functions learned last week
T 5.4
   Research Plan & Work for Final Project
Th 5.6  

Individual Lab
T 5.11
   Kohonen | Self-Organizing Algorithm
Timo Honkela Natural Language Processing
Pockets Full of Memories
Th 5.13

Project 		 

Lab

Research project presentation
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