Generative Design Foundations
1h 12mGeneral2019-12-13
Authors

Danil Nagy
Automation for the building industries
Course details
Generative design leverages artificial intelligence and increasing computational capacity to automate aspects of the design process, allowing designers to focus on the most creative parts of design while the computer works out the details. This course introduces this emerging technology for architecture, engineering, urban planning, and industrial design. Designer Danil Nagy explains the four key pillars of generative design: creating a parametric design space, evaluating performance using computer simulation, automatically generating design solutions through optimization, and evaluating the results to discover the best design options. He then introduces the tools and software you need to start integrating generative design into your workflows today.
Learning objectives
What is generative design?
Generative design examples
Designing the design space
Measuring performance
Optimizing the design
Evaluating the design space
Tools for simulation, scripting, and more
Learning objectives
What is generative design?
Generative design examples
Designing the design space
Measuring performance
Optimizing the design
Evaluating the design space
Tools for simulation, scripting, and more
Skills covered
Dynamo StudioGrasshopperComputational DesignRhinoRobert McNeel & AssociatesAutodeskFoundationsAECProduct and Manufacturing
Concepts
0. Introduction
- 01 - Generative design is transforming industry
- 02 - What you should know
1. Foundations of Generative Design
- 03 - Artifical intelligence in design
- 04 - What is generative design
- 05 - How did you get here
2. Generative Design in Industry
- 06 - Generative design in industry
- 07 - Andrew Heumann - WeWork
- 08 - Luc Wilson - KPF
- 09 - David Benjamin - Autodesk
- 10 - Matthew Clark and Zak Kostura - Arup, part 1
- 11 - Matthew Clark and Zak Kostura - Arup, part 2
3. Anatomy of Generative Design
- 12 - Designing the design space
- 13 - Measuring performance
- 14 - Objectives and constraints
- 15 - Design optimization
- 16 - The genetic algorithm
- 17 - Evolving design
- 18 - Evaluating the design space
4. Tools for Generative Design
- 19 - Tools for parametric design
- 20 - Tools for visual programming
- 21 - Tools for simulation
- 22 - Tools for scripting
- 23 - Tools for optimization
Conclusion
- 24 - The future of generative design
- 25 - Next steps