Computational Design Overview

Computational design is a design approach that uses computer-based tools, algorithms, and data processing to aid or automate parts of the design process. It allows designers—especially in fields like architecture, engineering, product design, and digital art—to create complex, efficient, and responsive designs that would be difficult or impossible to achieve manually.

Key Features of Computational Design:

1. Algorithmic Thinking: Instead of drawing a shape manually, you define rules or formulas (algorithms) that generate the shape.
2. Parametric Design: You can change inputs (parameters) and automatically update the design—ideal for optimization and iterations.
3. Generative Design: The computer explores multiple design options based on your goals and constraints.
4. Automation: Repetitive tasks (e.g., layout generation, structural optimization) can be automated.
5. Simulation and Analysis: Real-time feedback based on performance metrics (e.g., energy efficiency, structural integrity).

Common Tools and Languages:

• Grasshopper for Rhino
• Dynamo for Revit
• Processing, Python, C#
• TouchDesigner, Houdini (for digital media and interaction)

Example Use Cases:

• Generating facade patterns that respond to sun angles
• Optimizing structural systems using fewer materials
• Creating adaptive urban layouts based on pedestrian flows