Computational Design For Built Environment

Unlock the potential of computational design in architecture and urban planning through this comprehensive 10-week program. Learn how to harness cutting-edge tools and algorithms to optimize design processes, analyze complex data, and create more efficient, sustainable environments.

50+Hrs of Live Sessions with Experts
18 Biweekly Live Sessions for 10 Weeks
4 Curated @ L.A.B.S Modules + Personalized Assessments


Next Cohort: 04 July, 2025 | 10 Weeks, online (3-5 hours/week)


05+

SOFTWARE'S

Utilize a range of cutting-edge software and climatic assessment tools for data analysis and design.

20+

PLUG-IN'S

Access over twenty essential plugins for enhanced computational modeling, visualization and integration.

15-20

SCHOLARS PER COURSE

Engage with a focused cohort of selected scholars for multi-disciplinary engagement and collaboration.


Meet your Mentors

  A Global, Multidisciplinary Team of Experts Guiding You Across Innovative Aspects of Computational Design.  

Aishwarya Arun

Architect & Computational Design Expert (Bangalore)

Aishwarya Arun is an Architect and Computational Designer. She has developed a discretization plugin for Rhino Grasshopper and publish edit on food4rhino. She currently serves as a Product Specialist at Snaptrude, specializing in geometry-related features for the automated BIM software.


Disha Shetty

Architect, Environmental Design Analyst, ZHA (London)

Disha Shetty is an Environmental Analyst specializing in computational geometry modeling, parametric design, and environmental simulations. Disha currently works with the Zaha Hadid Architects Sustainability Team, where she develops energy-efficient and sustainable built environments


Federico Caldi

Architect, Building Engineer & Digital Fabricator (Barcelona)

Federico Caldi a designer holding two master's degrees—one in Building Engineering and Architecture from the University of Pisa and another in Advanced Architecture from IAAC Barcelona. His academic journey has shaped my passion for structural engineering, computational design, and digital fabrication.


Julia Veiga

Architect, Planner & Big Data Analyst (Barcelona)

Julia is a portuguese architect from Porto who holds a Master 's Degree in Architecture from Lisbon and a Master in City and Technology at IAAC in Barcelona. She did Erasmus+ in Venice, Italy at IUAV and she has worked across multi-disciplinary scales and teams in Lisbon, Barcelona, and Italy.



Who is this Program for?

Architects and Urban Designers  

Academics and Researchers

Graduate and Post Graduate Students

Data Analysts and Scientists 

Sustainability Consultants 

Environmental Consultants

The @L.A.B.S Curriculum

@LEARN (Computation Design)

L1: Intro To Computational Design
L2: Intro To Grasshopper
L3: Intro To Climate Analysis 
L4: Automated Design Workflows

@APPLY (Computation Design)

A1: Computational Workflows
A2: Generative Design
A3: Environmental Analysis
A4: Interactive Representations

@BUILD (Computation Design)

B1: Performative Design Plugins
B2: Net Zero Design Strategies
B3: Evolutionary Algorithms 
B4: Cloud Integration

@SCALE (Computation Design)

S1: Thermal Comfort 
S2: Custom Component (Python)
S3: Advance Scripting (Python)
S4: Advance Shape Diver

Frequently Asked Questions

What is the duration of the program, when does it start?

The program lasts for 10 weeks, beginning on July  4, 2025, with 3-5 hours of online coursework each week.

Do you offer free consultations?

Yes, we offer free consultations to help you explore the program and address any questions you may have!

Are there any prerequisites for enrolment?

While there are no strict prerequisites, a background in urban studies, data science, or a related field will be beneficial for maximizing your learning experience.

What types of projects will I work on?

You will engage in both individual and group projects focused on advance computational challenges, modeling, and utilizing data insights for practical applications.

What tools and software will I learn to use?

Participants will gain experience with cutting-edge software and geospatial tools, including Rhino, Grasshopper, Python, Shape Diver as well as curation of custom plugins.

how do the l.a.b.s modules enhance the learning experience?

The L.A.B.S module includes personalized assessments and interactive sessions, ensuring participants gain relevant skills and knowledge tailored to their interests and career goals.