Computational Design
Design Processes
Using code and algorithms as a design tool, not just to draw but to generate and evaluate.
In practice
Computational design treats the computer as a collaborator that can produce, test and refine options at a scale no hand can — encoding the logic of a design so that geometry, pattern, structure or behaviour emerge from rules. It spans parametric modelling, generative systems, simulation and, increasingly, machine learning, and it asks the designer to think in processes rather than pictures.
Questions
What is Computational Design?
Computational design is the practice of using algorithms, scripting and simulation to generate, explore and optimise design outcomes.
Why do you use Computational Design?
Some problems have too many variables for intuition alone. Computation searches the space, and it turns tacit rules into ones you can reason about and reuse.
How do you use/apply Computational Design?
Break the design intent into rules, encode them in a scripting environment or visual programming tool, generate outcomes, evaluate against measurable goals, and iterate on the rules.
When do you use Computational Design?
For complex, data-driven or highly variable problems — and for anyone who wants their process to be repeatable.
Who uses Computational Design?
Designers and architects comfortable with logic and code, or willing to become so.
