Training on Generative Design & Computational BIM

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