Training on Generative Design and Computational BIM

Modern architecture and infrastructure projects increasingly rely on computational design to optimize efficiency, performance, and sustainability. Generative design leverages algorithms and parametric modeling to automate complex design processes, allowing faster exploration of design alternatives and informed decision-making.

This 10-day course equips BIM professionals, architects, and engineers with practical skills in computational BIM and generative design. Participants learn to automate Revit using Dynamo, create parametric models, and develop algorithm-driven workflows to optimize geometry, spatial layouts, and performance metrics. Emphasis is placed on combining creativity with computational tools to achieve smarter, data-driven design outcomes.

Through hands-on exercises, real-world examples, and interactive simulations, participants will gain the ability to implement generative design strategies, enhance design efficiency, and deliver high-quality, optimized solutions in architecture, engineering, and construction projects.

Duration

10 Days

Who Should Attend

• BIM managers and coordinators
• Architects and urban designers
• Computational design specialists
• Civil and structural engineers
• Landscape and interior designers
• Revit users seeking automation and parametric modeling skills

Organizational Impact

• Faster, more efficient design processes through automation.

• Improved project quality by integrating performance and sustainability optimization.

• Reduced design errors and rework with parametric workflows.

• Stronger competitive edge through innovation and advanced BIM practices.

Personal Impact

• Mastery of generative design and computational BIM tools.

• Practical skills in Dynamo for Revit and parametric modeling.

• Enhanced career opportunities in advanced architectural and engineering roles.

• Confidence to lead innovation and automation initiatives in design.

By the end of this course, participants will be able to:

• Understand the principles of computational design strategies and generative modeling

• Use Dynamo for Revit automation to streamline workflows

• Apply parametric design to solve complex design challenges

• Build and apply algorithms to optimize designs with BIM tools

• Integrate generative design into architectural and engineering practices

Module 1: Foundations of Computational and Generative Design

• Introduction to computational thinking in design

• Principles of parametric design in architecture

• Overview of visual programming tools (Dynamo, Grasshopper)

Module 2: Working with Dynamo for Revit Automation

• Dynamo interface, logic nodes, and scripting basics

• Automating repetitive Revit tasks (sheets, views, parameters)

• Using Dynamo for Revit automation: practical exercises

Module 3: Parametric Modeling and Rule-Based Design

• Creating parametric families and adaptive components

• Developing constraint-based design systems

• Geometry control and relationship-driven modeling

Module 4: Generative Design Concepts and Applications

• Principles of automated design with BIM

• Scenario-based generation using data inputs

• Evaluating and refining design outcomes

Module 5: Design Optimization and Performance Analysis

• Optimizing designs with algorithms

• Integration with environmental analysis tools

• Multi-objective optimization and trade-off visualization

Module 6: Complex Geometry and Smart Components

• Designing complex façades and structures

• Responsive design systems (inputs, triggers, behaviors)

• Using packages and custom nodes in Dynamo

Module 7: Data-Driven Design Workflows

• Linking Excel, databases, and external data to Dynamo

• Analyzing and visualizing design data within BIM

• Automating quantity takeoff and cost estimation

Module 8: Interoperability and Integration

• Exporting geometry and data to Rhino/Grasshopper

• Connecting generative tools with analysis platforms (e.g., Insight, Ladybug)

• BIM interoperability with IFC and custom scripts

Module 9: Generative Design for Real-World Projects

• Case studies: urban layout, hospital design, structural optimization

• Applying generative logic to complex client briefs

• Managing performance, aesthetics, and constraints

Module 10: Final Project and Presentation

• Individual or team-based generative design challenge

• Presentation of process and results

• Peer review and instructor feedback