Amogh N P
✦ In loving memory of Amogh N P — Architect · Designer · Visionary ✦
B.Arch Curriculum · Semester 6 · Elective

Computational Design Process

Computational design is not a tool and not a style — it is a way of thinking. Instead of drawing the finished object, you author the logic, rules and relationships that generate it, then explore the family of designs that logic produces. This elective is about the method: computational thinking, parametric and associative modelling, algorithmic and generative systems, performance-driven optimisation, and the digital-fabrication and AI frontier. The throughline is a single mental shift — you author the system that makes the object, not the object itself — and a single discipline: the human stays the author of intent.

5Units
6Outcomes
3Credits
FreeForever
Start with Unit I All student courses
Unit I · The mental shift

Foundations of Computational Design

Computational design means designing by specifying the logic, rules and relationships that generate form — not drawing the finished result by hand. That is a categorical difference from CAD: a CAD drawing is static description, a computational model is a live mechanism. Learn the four pillars of computational thinking (decomposition, pattern recognition, abstraction, algorithm design), the defining shift from authoring objects to authoring SYSTEMS, and a concise lineage (Sketchpad 1963, shape grammars 1971, Frazer 1995). The key idea: computation is a way of thinking, not a style.

Author systemsComputational thinkingNot a styleSketchpad 1963vs CAD
Open the lesson

The syllabus

Five units — from the mental shift to the AI frontier.

Transcribed from the official B.Arch syllabus. All 5 units are live as full interactive lessons, each with original diagrams, a self-assessment quiz and a studio task.

1

Unit 1 — Foundations

Live

What computational design is (authoring the logic that generates form) vs CAD (drawing the result); the four pillars of computational thinking (decomposition, pattern recognition, abstraction, algorithm design); the shift from authoring objects to authoring systems; and a concise lineage (Sketchpad 1963, shape grammars 1971, Frazer 1995). Computation is a way of thinking, not a style.

CO1
2

Unit 2 — Parametric & Associative Design

Live

Parameters, relationships and constraints; the parametric model as a dependency graph (change propagates downstream); explicit vs associative modelling; visual programming (node-and-wire dataflow, Grasshopper/Dynamo) as the medium; data lists/trees; a model is only as good as its logic; and when parametric helps vs the 'parametric trap'.

CO2
3

Unit 3 — Algorithmic & Generative Design

Live

Algorithms, loops, conditionals, recursion and controlled randomness; generative systems (L-systems, cellular automata, fractals, Voronoi/Delaunay, agent-based/swarm, reaction–diffusion) and what each generates; form-finding (catenary, minimal surfaces, physics relaxation); and emergence — global order from simple local rules. Generative ≠ arbitrary.

CO3
4

Unit 4 — Performance & Optimisation

Live

Simulation-in-the-loop (daylight, energy, structure, airflow, acoustics feeding back into form); the fitness function (defining 'good' numerically); objectives vs constraints; single- vs multi-objective optimisation and the Pareto front; evolutionary/genetic algorithms (how the search works); design-space exploration; and the honest caveat — 'optimised' is only as good as the fitness function.

CO4CO6
5

Unit 5 — Fabrication & the AI Frontier

Live

File-to-factory (the model drives CNC, laser/water-jet, robotic and additive machines); subtractive/additive/formative/robotic processes; mass-customisation; the BIM and digital-twin connection; AI/ML in computational design (generative ML, surrogate models) AND its honest limits (training bias, no engineering judgement, AI image ≠ buildable design, authorship); and the workflow + ethics — the human stays the author of intent.

CO5CO6

Course outcomes

What you should be able to do after completing all five units (CO1–CO6, from the syllabus).

1
Understand

Explain computational design and computational thinking, and how they differ from CAD.

2
Apply

Build parametric/associative logic as a clean dependency graph — and avoid the parametric trap.

3
Apply

Use algorithmic and generative systems and form-finding to generate form.

4
Analyse

Couple models to simulation and optimisation — fitness functions, multi-objective trade-offs.

5
Understand

Describe file-to-factory fabrication and the AI frontier, with its honest limits.

6
Evaluate

Keep the human as the author of intent — judge what computation and AI cannot.

The computational design METHOD (L1 · T0 · S3; 150 marks). Every diagram is original Studio Matrx work; concepts and dates are referenced, and AI hype is flagged honestly. The throughline: you author the system that makes the object, not the object itself — and the human stays the author of intent. This is the THINKING; for the software tools see Computer Studio III, and for the digital movement see Progressive Architecture.

Author the system, not the object.

Computational thinking, parametric and generative design, optimisation, fabrication and AI. Read the five units, study the diagrams, then test yourself.

Open Unit I Back to Students

Studio Matrx is a tribute to Amogh N P. The curriculum is free, forever.