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Algorithmic Design Techniques with Grasshopper

Algorithmic Design Techniques with Grasshopper



The use of Algorithmic Design software has become ubiquitous in the fields of architecture in recent years.


Detailed Description

From concept design to technical detailing, algorithmic modelling has enhanced the creativity of designers, enabling them to manage a much higher degree of complexity than the one allowed by traditional modelling. Informed by relevant parameters defined by the designer, algorithmic software are rule based tools to transform conceptual diagrams into rigorous and detailed digital models ready to be manufactured.

This course will introduce the participants to Grasshopper for Rhino, presenting them the software environment and logics as well as providing them with a series of techniques to approach algorithmic design at different scales.

Course content:

  • Introduction to Grasshopper’s interface and components
  • How to manage data in Grasshopper
  • Linking external parameters (site conditions, local specificities) to the digital model
  • Design with environmental parameters (sun, views)
  • Displaying information on the model and exporting fabrication drawings  
  • Quick introduction to some Grasshopper’s plugins

Proposed exercises

Exercise 01: design of a small object [lamp] using 2D components and production of fabrication drawings
Exercise 02: design of medium sized object [bench] based on waffle structure systems
Exercise 03: design of a medium sized object [pavilion] using 3D components
Exercise 04: design and control of building facades/skins
Exercise 05: control of environmental data and implementation in design process

By the end of the course, students will be able to;

  • Manage a Grasshopper file in connection with Rhino
  • Connect external parameters (attractors, site conditions, sun analysis) to their design
  • Export information in the form of fabrications drawings or illustrator diagrams 

The course is suitable for beginners however basic knowledge of Rhino is required. 

Students are welcome to bring their own laptops but computers will be provided.

Dates: 04.11.17 - 02.12.17
Day: Saturday, 11.00 - 17.00
Duration: One day a week for 5 weeks