NJ's Design & Computation

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Canal • 2 podcasts

Design

Design

Duas vezes/semana
Design

Design

Duas vezes/semana

20 DE JUN.

Class 17 A: Lecture - CAD System Application & Development for Design Research and Project

The sources discuss the development of CAD software, emphasizing its role as a "software revolution" that transforms theoretical knowledge into executable and distributable systems for design and research. They highlight the fundamental differences between traditional design iteration and the methodical, step-by-step approach of software development, stressing the importance of structured architecture using concepts like front-end/back-end distinctions and the MVC (Model-View-Controller) design pattern. The lectures also explore object-oriented programming (OOP) for building hierarchical geometric data, the significance of rendering engines and performance optimization (including GPU-based parallel processing), and the crucial role of UI/UX principles in creating effective and user-friendly software. Ultimately, the material frames software development as a process of defining states, relationships, and rules to codify complex design processes, with a concluding motivational message about problem-solving and persistence. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

20 de jun.

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15min
18 DE MAI.

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

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 distances, line intersections, and splitting/trimming curves, as well as more advanced concepts like Bézier curves, circle and sphere packing, rectangles, ellipses, and the use of tangent, normal, and binormal vectors to define frames and curve curvature. The speaker also briefly touches on the importance of understanding the RhinoScript Syntax and RhinoCommon APIs and encourages hands-on practice with coding and geometric concepts. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

18 de mai.

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20min
18 DE JUN.

Class 16 A: Lecture - 디자인 시각화 / Design visualization

강의자는 디자인 시각화의 중요성과 다양한 기법을 폭넓게 설명합니다. 여기에는 3D 모델링 및 렌더링, 애니메이션, 그리고 모션 트래킹과 같은 포스트 프로덕션 기술이 포함됩니다. 또한, 카메라 앵글과 구도가 디자인 의도를 전달하는 데 어떻게 사용될 수 있는지 논하고, 데이터 시각화 및 인터랙티브 비주얼라이제이션 도구를 언급하며 분야의 깊이와 넓이를 강조합니다. 강의자는 자신의 건축 및 시각화 프로젝트 경험을 예시로 들어 설명하며, 시각화의 다양한 응용 가능성을 제시합니다. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

18 de jun.

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6min
18 DE JUN.

Class 16 A: Lecture - Design visualization

These sources provide an extensive overview of design visualization, encompassing its broad definition and practical applications in fields like architectural and product design. The lectures and accompanying document emphasize the technical principles behind creating visuals, including rendering processes, camera techniques, lighting, and post-production. Significant attention is given to animation and simulation methods for depicting movement and processes, alongside numerous real-world examples of commercial, artistic, and research-based visualization projects. Ultimately, the materials highlight that effective design visualization goes beyond mere presentation, focusing on conveying meaning and facilitating understanding through various visual strategies and a blend of technical skill and artistic vision. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

18 de jun.

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12min
16 DE JUN.

Class 15 A: Lecture - Digital Mapping & GIS for visualization

This lecture is about digital mapping and GIS for visualization, discussing how these tools are crucial for various design fields like architecture and urban planning. The lecture covers data types like vector and raster data, file formats such as GeoJSON and Shapefiles, and common GIS operations like buffering and dissolving. It emphasizes how mapping helps to uncover insights from data and explores different projection methods and visualization techniques, including animation and interactive maps, using various libraries and tools. The material also provides code examples and resources for practical application of these concepts. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

16 de jun.

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15min
13 DE MAI.

Class 02 A: Lecture - Programming & Data Processing for Designers

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 creating powerful, iterative, and optimized design solutions. Ultimately, the material stresses the importance of hands-on coding practice, focusing on fundamental concepts like APIs, to enable designers to leverage the growing power of digital infrastructure. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

13 de mai.

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14min
16 DE MAI.

Class 03 B: Workshop - Vector & Point Data Structure

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 illustrating their implementation through code examples and their visual interpretation. The discussion also touches upon coordinate systems, planes, and transformations (translation, rotation, scaling), emphasizing that these seemingly complex geometric operations are built upon the core understanding of vectors and points. The overall aim is to provide students with a foundational understanding of these building blocks for creating and manipulating geometric data in design applications. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

16 de mai.

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11min
28 DE MAI.

Class 09 B: Workshop - Raster: Pixel & Voxel map Data Structure

These excerpts appear to be from two parts of a workshop or lecture focused on data structures in design, specifically pixels and voxels. The instructor guides participants through Python code examples illustrating how to create and manipulate pixel and voxel grids, including concepts like connectivity, smoothing, and query operations based on location or data values. The material extends to demonstrating these concepts within Grasshopper 3D software, showing how to visualize and interact with the created grids. Additionally, the sources touch upon image processing techniques and their application in design contexts, highlighting concepts such as color blending, filtering, and spatial analysis using elevation or environmental data. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

28 de mai.

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14min
16 DE MAI.

Class 03 B: Workshop - 벡터 & 포인트 데이터 구조 / Vector & Point Data Structure

강의 영상에서 강사는 벡터와 포인트 데이터 구조에 대해 설명하며, 다양한 프로그래밍 환경(프로세싱, HTML 캔버스, 오픈GL, 맷플롯립 등) 및 Rhino/Grasshopper에서 이러한 개념을 구현하는 방법을 시연했습니다. 학생들은 GitHub 저장소에서 예제 코드를 활용하여 벡터 연산 및 시각화를 연습하고, 질문 답변 자료를 참고할 수 있습니다. 강사는 벡터 덧셈, 뺄셈, 스케일링, 내적, 외적 등의 기본적인 연산을 코드로 구현하는 과정을 보여주고, 포인트 그리드, 어트랙션, 로테이션 등 더 복잡한 예제를 통해 응용 방법을 제시했습니다. 또한, 매트릭스, 플레인, 좌표 시스템과 같은 고급 개념을 소개하며, 디자인 데이터를 다루는 데 있어 이러한 지오메트리 개념의 중요성을 강조했습니다. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

16 de mai.

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7min
1 DE JUN.

Class 10 C: Lecture - AI for Designers

These sources introduce artificial intelligence, primarily focusing on machine learning as a method to achieve AI goals, using the relatable analogy of placing points and drawing lines to explain the core idea of pattern finding in data. They emphasize that understanding the problem and the available data types is crucial for choosing appropriate machine learning models, highlighting the necessity of good, clean data and the importance of data preprocessing steps like cleaning noisy data, handling missing values, and scaling features. The texts also touch upon different types of machine learning problems such as regression and classification, discuss concepts like the curse of dimensionality and techniques for dimensionality reduction, and briefly introduce neural networks and the concept of reinforcement learning while stressing the significance of domain knowledge and computational thinking for designers seeking to leverage these technologies. Finally, the need for GPU and parallel computing for efficient training is explained, along with an outline of a typical data-driven design process. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

1 de jun.

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32min

This podcast offers an AI-generated summary of a Design & Computation lecture or talk featured on NJChannel(https://www.youtube.com/@CodeforDesign ).

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NJ's Design & Computation

Principais podcasts

Class 17 A: Lecture - CAD System Application & Development for Design Research and Project

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

Class 16 A: Lecture - 디자인 시각화 / Design visualization

Class 16 A: Lecture - Design visualization

Class 15 A: Lecture - Digital Mapping & GIS for visualization

Class 02 A: Lecture - Programming & Data Processing for Designers

Class 03 B: Workshop - Vector & Point Data Structure

Class 09 B: Workshop - Raster: Pixel & Voxel map Data Structure

Class 03 B: Workshop - 벡터 & 포인트 데이터 구조 / Vector & Point Data Structure

Class 10 C: Lecture - AI for Designers

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NJ's Design & Computation

Principais podcasts

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