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.

20+Hrs of Live Sessions with Experts
Biweekly Live Sessions for 04 Weeks
4 Curated @ L.A.B.S Modules + Personalized Assessments


Next Cohort: 16th January, 2027  | 04 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.

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 16th January, 2027 , 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.

Learn.Apply.Build.Scale

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