algorithmic modeling for Rhino

Introduction to Grasshopper // Sep 6-7 // Los Angeles

Event Details

Introduction to Grasshopper // Sep 6-7 // Los Angeles

Time: September 6, 2014 at 12pm to September 7, 2014 at 6pm
Location: Los Angeles
Street: 2558 N. San Fernando Rd, StudioA8
City/Town: Los Angeles
Website or Map:…
Phone: 323.382.8939
Event Type: workshop, los angeles, la
Organized By: Somewhere Something
Latest Activity: Aug 31, 2014

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Event Description

SomewhereSomething is offering a 2-day introduction to Grasshopper workshop that will introduce participants to Grasshopper, a node-based algorithmic editor that functions as a plug-in within the Rhinoceros environment. Grasshopper enables designers to explore variation and possibilities in an efficient workflow. Furthermore, Grasshopper has encouraged a vast community of users who have created an impressive body of reference, as well as plugins that greatly extend the functionality of Grasshopper to achieve varied, and vey specific, tasks.

This introduction to Grasshopper workshop will focus on an overview of the plug-in, geometry types and attributes, geometry construction and transformation, and list and data tree structure and management. Through lectures and hands on exercises, the participants will be able to compose various geometry constructs that demonstrates variation and transformation through their embedded adaptive logic.

Topics Covered

  • How to navigate the user interface.
  • Why design with algorithms?
  • What is parametric design?
  • How to store and access data efficiently.
  • How to use attractor data to influence geometry construction/manipulation.
  • What are the different geometry types in Grasshopper?
  • Efficient implementation into a proposed design problem.

About the Instructors
Jason King & Biayna Bogosian have nearly two decades of combined experience in architecture, design technology, and teaching. We strive to make our workshops fun and informative, helping participants integrate new design technologies into their workflows.

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