NJ's Computation for Design

These video excerpts focus on the  computational design process , specifically within the  Rhino/Grasshopper  environment. The speaker demonstrates how to programmatically  create and manipulate geometric data , including points, curves, surfaces, and boundary representations (Breps), using both  RhinoCommon  and  RhinoScript Syntax  APIs, while highlighting their differences. Key concepts covered...

These sources offer an overview of a  data-driven design class lecture  focusing on  Surface  and  Boundary Representation (Brep)  data, building upon previous discussions of vectors and curves. Key concepts covered include the definition of a surface as a two-dimensional form, the extraction of various data types like  point grids ,  iso-curves ,  normal vectors , and  curvature , and different m...

These source excerpts primarily consist of a lecture on  computational design and geometry using Rhino and Grasshopper , delivered with some Korean interjections. The lecture focuses on  vector, line, polyline, and curve manipulation , including concepts like creating and modifying geometry through code, understanding data structures for points and lines, and interpreting  parametric representatio...

This lecture segment provides an overview of a computation design course curriculum, focusing on the foundational concepts and their application. The speaker emphasizes the importance of understanding  vector operations , explaining how they are fundamental to manipulating geometric data like  curves  and  surfaces . The discussion then transitions to  object-oriented programming  as a method for...

These excerpts capture a workshop focused on the  fundamental concepts of vectors and points  within the context of design computing. The instructor guides students through various  programming environments and libraries  (like Processing, HTML Canvas, RhinoCommon, C#, and Python) to demonstrate how these basic geometric entities are represented and manipulated computationally. Key operations such...

This course introduces the fundamental concepts of  vector and point data structures  in a computational design context. It explains how real-world information can be translated into  vector data , which represents magnitude and direction, and  raster data , which is like a digital image. The importance of  coordinate systems  in interpreting these numerical data points is stressed, and different...

This workshop lecture provides an  introduction to programming and data processing , specifically within the  Grasshopper environment . The instructor guides attendees through  basic Python syntax and data structures  like lists, strings, loops, and conditional statements, emphasizing the importance of  understanding the underlying logic  behind visual components. Key concepts demonstrated include...

These sources present a compelling argument for the integration of data and computation into the field of design. They emphasize that future success in design hinges not on predicting fleeting trends, but on mastering enduring principles, problem-solving skills, and computational thinking. The lecture posits that understanding how to translate design concepts into quantifiable data structures—like...

These sources introduce students to the foundational concepts of  programming  and  data processing  within the realm of  computational design . The lecture emphasizes that programming is fundamentally  data processing , requiring an understanding of  data types  and  data structures  to represent and manipulate information effectively. A key takeaway is the importance of applying  computational t...

These sources introduce a course titled "Data in Design," focusing on how designers can  effectively use computation and data in their creative process . The instructor, an architect and software engineer, highlights that computational design is fundamentally about  translating design thought into code  and viewing  data as a core design material . The course emphasizes understanding  computationa...

https://youtu.be/K0Y20rPuoJs This speaker, an architect turned software engineer and computational design specialist, discusses the increasing importance of  data  as a  design material  in the 21st century. He highlights how embracing computation, which involves  translating design ideas into code , allows for the manipulation and analysis of spatial information in forms like  vector and raster d...