The Fusion of Art and Algorithm
This interdisciplinary course examines the dissolving boundary between the artist’s intuition and the computer’s logic. It focuses on “Algorithmic Aesthetics”—how mathematical rules can be used to generate beauty, chaos, and structure. Students will study the history of computer art, engage with generative coding frameworks, and develop a personal philosophy on the role of the algorithm as a co-creator rather than just a tool.
§ 01 By the end you can
- Trace the genealogy of algorithmic art from Islamic geometric patterns to modern AI
- Master the logic of procedural generation (noise, randomness, recursion)
- Create artwork using code-based frameworks (Processing/P5.js) and AI tools
- Analyze the tension between "Control" and "Surprise" in generative systems
- Curate an exhibition that visualizes the dialogue between human and machine
§ 02 Sixteen sessions
The whole semester.
- 01Algorithms in Art History (Pre-Computer)
- 02The Pioneer Era: Plotters and Mainframes
- 03Logic of Aesthetics: Rules & Constraints
- 04Randomness vs. Pseudo-Randomness
- 05Fractal Geometry & Recursion
- 06Cellular Automata (Game of Life)
- 07Noise Functions (Perlin/Simplex)
- 08 · MidtermMidterm Examination
- 09Complexity Theory & Emergence
- 10Data Visualization as Art
- 11Glitch Art: The Aesthetics of Failure
- 12AI Style Transfer & Neural Art
- 13The Algorithm as Curator
- 14Interactive Installations
- 15Critique: Authorship in Code
- 16Final Project: Algorithmic Series
Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.
§ 03 Final project
Final Project: Algorithmic Series
Recommended reading
- When the Machine Made Art by Grant D. Taylor
- Generative Art by Matt Pearson
- The Nature of Code by Daniel Shiffman
- Form+Code in Design, Art, and Architecture by Casey Reas
- Programmed: Rules, Codes, and Choreographies in Art by Christiane Paul
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