MAT 594 Visual Design through Algorithms:

Visual Explorations of Physical Process (4 units)

Tuesday 1-2pm, -Thurs 12:00-3:00 pm, E-studio

Instructors: Jerry Gibson George Legrady

    The course will consist of an overview of mathematical processes and algorithms related to fundamental engineering results, leading to innovative experimentations in visualizations through the learned algorithms.

The course's goals are to foster both engineering level research in conjunction with the experimental approach of the Visual Arts. Students are expectexd to work in teams to achieve meaningful results in both Engineering and the Arts.

T 1.6 Course Introduction

JG: Sampling

Th 1.8

Projects Reviewed

GL: An overview of the Arts & Technology field
Possible career and research directions
Artists & Engineers: What are the Collaborative Issues
Research approaches & methodologies

Swarm Intelligence: Moura/Ramos
CalTech + Art Center exhibition: Neuro [2][3]
Aegis Hyposurface
Baurmann, Brooks, Coersmeier: World Trade Center Memorial Design
Reiser + Umemoto: Fluids Visualization

Public Sphere: Entertainment industry, design, arts, industry
The collaborative process (steinheider)

GL: What is an Image?

T 1.13 JG: Gaussian, Laplacian Pyramids

Th 1.15

Sites Visited

GL: Some Propositions about Art

Daniel Langlois Foundation for Arts, Science & Technology
Intel Research Lab
Eric Paulos, robotics
Paul deMarinis, projects
Ned Kahn: Wind Veil

T 1.20  

JG: Frequency Filtering

Th 1.22

Projects Reviewed

GL: The Design Process: A systematic problem-solving strategy, with criteria and constraints, used to develop many possible solutions to solve a problem or satisfy human needs and wants and to winnow (narrow) down the possible solutions to one final choice.

Hiroshi Ishii, Tangible Bits
Christian Moeller
Aegis Architecture
Block Jam
Circle Clock

T 1.27 JG: Sphere Packing & Signal Spaces

Th 1.29

Projects Reviewed
  GL: Narrative in Technological Projects: The linguist Tzvetan Todorov describes the minimal condition of narrative construction as consisting in the passage from "one equilibrium to another".

Masak Fujihata: Speed
Alan Rath: Sculptures
Artificiel: Bulbs
Eduardo Kac: Transgenic art
Karl Sims: Genetic Arts
Natalie Jeremichenko: Inverse technology
Victoria Vesna, James Gimzewski: Nano
Artificial Intelligence | Alife
Steve Wilson’s Artlinks

T 2.3
JG: Randomness, Random Walk

Th 2.5

Projects Reviewed
  GL: Noise & Randomness in mid 1980's legrady projects

Urban Nature
Between East West

Guest Lecture

Kathy Rae Huffman, Cornerhouse, Manchester UK

T 2.10 JG: Gauss, Markov models, Entropy

Th 2.12
  GL: Collaborative Project Guidelines

Guest Lecture Marcos Novak: “An Experiment in Computational Composition” with a focus on the relation between entropy and genetic algorithmics"

T 2.17   JG: Mutual Information, Relative Entropy

Th 2.19
  GL: Algorithms & visualization topics

Guest Lecture Casey Reas, Digital Media Design, UCLA

T 2.24 JG: Hypothesis Testing, Detention Theory

Th 2.26
  Individual Meetings | Team Production
Guest Lecture Jean-Pierre Hébert, Visiting artist-in residence at the Kavli Institute of Theoretical Physics, UCSB

T 3.2 Individual Meetings | Team Production

Th 3.4 Individual Meetings | Team Production

T 3.9 Individual Meetings | Team Production

Th 3.11 Project Presentations
TOH (Truncated Octahedron)
Ben Ritter, Ashok Basawapatna, Uli Schmidts
Difference, Teja Ream, Mike Quinn
Algorithmic Assemblage, Gary Thomas
Worm Walker
, August Black, Lance Putnam

  Weaver, Shannon, Informatin Theory
Flake, G, The Computational beauty of Nature
Pickover, Clifford, Computers, Pattern, Chaos, and beauty, Dover