This course introduces the foundations of Generative Design, exploring its definitions, types, and core algorithms. Students will learn how nature-inspired systems such as L-systems, fractals, shape grammars, Voronoi/Delaunay tessellations, cellular automata, and swarm intelligence can drive innovative design processes. The course also provides an introduction to optimisation techniques, equipping participants with practical methods to enhance efficiency, performance, and creativity in computational design.
Applications:
Schedule:
| Day | Date | Start | Main Topic |
|---|---|---|---|
| Sunday | 2025-09-28 | 20:00 | Generative design definition and types. |
| Tuesday | 2025-09-30 | 20:00 | Generative design algorithms (L-systems & fractals) |
| Thursday | 2025-10-02 | 20:00 | Generative design algorithms (shape grammars, Voronoi & Delaunay tessellations) |
| Sunday | 2025-10-05 | 20:00 | Generative design algorithms (cellular automata & swarm intelligence) |
| Tuesday | 2025-10-07 | 20:00 | Introduction to optimisation. |
| Thursday | 2025-10-09 | 20:00 | Application |
Recommended:
Generative Design Course Part 2:
1- Optimisation vs simulations
2- Physics simulations (using Kangaroo)
3- Solar radiation simulations (using Ladybug Tools)
4- Daylighting simulations (using Honeybee Tools)
5- Acoustical simulations (using Pachyderm).
6- Multi-objective optimisation (MOO).
Course Features
- Lecture 0
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
