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PODCAST

NJ"s Computation for Design

This podcast offers an AI-generated summary of a Design & Computation lecture or talk featured on NJChannel.

arts design

All Episodes

00:16:00

Class 08 A: Lecture - Graph & Network

NJ"s Computation for Design ·

2025/05/25

These sources introduce graphs as a versatile nonlinear data structure fundamental for representing interconnectedness in various real-world and computational systems. They explain that graphs consist of nodes and edges, both capable of holding properties, and that their topology can be dynamically modified. The lectures and briefing document highlight different graph types, methods for computer representation, and essential graph algorithms like traversal (DFS, BFS), shortest path (Dijkstra,

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00:23:33

Class 07 B: Workshop - Discretization & Mesh

NJ"s Computation for Design ·

2025/05/24

These video excerpts discuss fundamental concepts of mesh geometry in computer graphics and architectural design, emphasizing the importance of data structures like vertices and faces to define 3D forms. The speaker illustrates how to programmatically create and manipulate meshes using various software libraries and languages, explaining topics like vertex and face normals, calculating centroids and areas, and applying transformations like offsets and twists. Key data concepts like serialization and

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00:15:02

Class 07 A: Lecture - Discretization & Mesh

NJ"s Computation for Design ·

2025/05/23

These sources, excerpts from a lecture and a briefing document, collectively highlight the importance of the mesh data structure within computational design. They establish computational design as a conceptual approach requiring programming proficiency to manage spatial information through various geometric data structures, particularly emphasizing how meshes facilitate discretization by converting continuous reality into finite data. The texts underscore the mesh's role as a universal structure for

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00:11:15

Class 06 B: Workshop - OOP and Design Data Structure

NJ"s Computation for Design ·

2025/05/23

These sources collectively explain Object-Oriented Programming (OOP) and data structures, emphasizing their application in design and architecture. They highlight the importance of structuring and organizing data, particularly by combining data and its associated functions within classes. The materials define classes as templates and objects as their instances, while introducing core OOP concepts like inheritance, polymorphism, and encapsulation, illustrated with geometric examples such as vectors,

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00:15:14

Class 06 A: Lecture - OOP and Design Data Structure

NJ"s Computation for Design ·

2025/05/20

These sources, a lecture and a briefing document on the lecture, review core programming concepts for a "Data In Design" class. The instructor emphasizes that learning programming is akin to learning a language, requiring consistent practice rather than sudden insight. The lecture introduces Object-Oriented Programming (OOP) as a crucial paradigm for organizing code, contrasting it with procedural programming and explaining concepts like classes, objects, and inheritance. Furthermore, the materials

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00:18:04

Class 05 B: Workshop - Vector: Surface & Brep

NJ"s Computation for Design ·

2025/05/20

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 include data structures like lists and arrays, using loops to generate geometry, understanding vectors for

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00:19:26

Class 05 A: Lecture - Vector: Surface & Brep

NJ"s Computation for Design ·

2025/05/19

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 methods for representing surfaces such as parametric and implicit forms. The lecture explores operations like area

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00:19:51

Class 04 B: Workshop - Vector: Line & Polyline & Curve

NJ"s Computation for Design ·

2025/05/18

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 representations of curves. Additional topics covered include geometric operations such as fitting curves, calculating

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00:12:37

Class 04 A: Lecture - Vector: Line & Polyline & Curve

NJ"s Computation for Design ·

2025/05/17

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 structuring data and design concepts, highlighting its relevance in computational design for creating customized

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00:10:54

Class 03 B: Workshop - Vector & Point Data Structure

NJ"s Computation for Design ·

2025/05/16

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 as addition, subtraction, scaling, distance calculation, and cross/dot products are explained, often

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00:18:04

Class 03 A: Lecture - Vector & Point Data Structure

NJ"s Computation for Design ·

2025/05/15

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 measurement systems like Euclidean and Manhattan distances are discussed. The lecture further explores basic

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00:12:38

Class 02 B: Workshop - Programming & Data Processing...

NJ"s Computation for Design ·

2025/05/14

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 manipulating numerical data, working with lists, using functions for tasks like mapping data between different

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00:14:00

Class 02 A: Lecture - Programming & Data Processing...

NJ"s Computation for Design ·

2025/05/13

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 vectors, rasters, and graphs—and then processing this data through code and algorithms is essential for

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00:34:15

Class 01 B: Lecture - Data & Design - Code for Design

NJ"s Computation for Design ·

2025/05/10

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 thinking—breaking down problems and creating explicit instructions—to design challenges, distinguishing this from

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00:17:36

Class 01 A: Lecture - Data & Design - Code for Design

NJ"s Computation for Design ·

2025/05/07

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 computational thinking, fundamental programming concepts like Python and Object-Oriented Programming, different types of

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00:19:18

CD Talk 01 - Design Material: Data Utilization in...

NJ"s Computation for Design ·

2025/05/04

https://youtu.be/K0Y20rPuoJsThis 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 data, and explores how these digital representations can be used in various architectural and urban planning

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36 results

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