NJ's Design & Computation

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6月20日

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

6月20日

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15 分鐘
6月18日

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

6月18日

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12 分鐘
6月16日

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

6月16日

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15 分鐘
5月13日

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

5月13日

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14 分鐘
5月29日

Class 10 A: Lecture - 디자이너를 위한 인공지능 / AI for Designers

강의 발췌록은 디자이너를 위한 인공지능(AI)을 주제로 하여, AI에 대한 일반적인 오해를 바로잡고, AI를 가능하게 하는 기술적 기반을 설명합니다. 특히 AI를 데이터 처리의 관점에서 접근하며, 전통적인 프로그래밍 방식(Software 1.0)과 데이터를 기반으로 모델을 구축하는 머신러닝 방식(Software 2.0)의 근본적인 차이점을 강조합니다. 강연자는 디자이너들이 AI를 단순한 유행이나 상상력에 의존하기보다는 기술적인 이해를 바탕으로 접근해야 함을 역설하고, AI가 마케팅 용어에 그치지 않고 실질적인 문제 해결 도구가 될 수 있음을 시사합니다. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

5月29日

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6 分鐘
5月14日

Class 02 B: Workshop - Programming & Data Processing for Designers

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 domains, and generating random numbers. The lecture encourages hands-on practice by recreating visual component functionalities through coding, ultimately aiming for students to develop the ability to translate their design ideas into code and handle various data types and structures within the Grasshopper workflow. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

5月14日

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13 分鐘
6月28日

Class 18 A: Course Summary Session - Data in Design

The provided sources summarize a "Data In Design" course, emphasizing its core objective to teach students how to codify design processes using computational methodologies. The curriculum, structured around 17 sections and over 100 modules, covers topics from basic coding and geometry to advanced concepts like AI, data visualization, and software development for design. Students were guided to apply computational thinking through weekly assignments culminating in a final project, which also served as the primary assessment. The course materials, including lectures, slides, and podcasts, were designed to support continuous learning, with a final review session featuring expert feedback to reinforce student understanding and growth. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

6月28日

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10 分鐘
5月11日

Class 02 A: Lecture - 디자이너를 위한 프로그래밍 & 데이터 구조 / Programming & Data Processing

https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation 강의 발췌본과 브리핑 문서는 데이터와 코드가 디자인 분야에 미치는 영향에 대해 설명합니다. 미래의 디자인 트렌드를 예측하기보다는 변하지 않을 원리와 문제 해결에 필요한 컴퓨팅 사고의 중요성을 강조하며, 데이터를 디자인 개체로 이해하고 벡터, 래스터, 그래프 등 다양한 데이터 구조를 활용하여 디자인 문제를 해결하는 방법을 다룹니다. 또한, 디자인 프로세스를 코드로 변환하고 반복과 최적화를 통해 효율적인 디자인을 구현하며, API 이해와 꾸준한 코딩 연습이 디자이너에게 필수적인 역량임을 역설합니다.

5月11日

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6 分鐘
5月15日

Class 03 A: Lecture - 벡터 & 포인트 데이터 구조 / Vector & Point Data Structure

강의 자료는 디자인에서 벡터 데이터와 포인트 데이터라는 두 가지 기본 데이터 유형과 이들이 계산 디자인에서 어떻게 사용되는지 설명합니다. 핵심 아이디어는 같은 숫자가 좌표계의 맥락에 따라 점(위치) 또는 벡터(방향 및 크기)로 해석될 수 있다는 것입니다. 또한 거리 측정을 위한 다양한 방법과 길이, 스케일링, 덧셈, 뺄셈, 내적, 외적과 같은 필수적인 벡터 연산에 대해서도 다룹니다. 궁극적으로 이러한 개념들은 포인트 그리드의 개념과 변환 및 평면의 사용과 연결되며, 대부분의 기하학적 문제를 해결하기 위해 벡터 개념을 이해하는 것이 중요함을 강조합니다. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

5月15日

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9 分鐘
5月19日

Class 05 A: Lecture - Vector: Surface & Brep

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 calculation and point projection, the mathematical understanding of curvature and its types (Gaussian, Mean), and concepts like surface mapping and geodesic curves. Finally, it introduces Brep and Mesh as methods for representing complex shapes and emphasizes the importance of understanding their hierarchical data structures for effective design and programming. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

5月19日

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19 分鐘

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

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

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 10 A: Lecture - 디자이너를 위한 인공지능 / AI for Designers

Class 02 B: Workshop - Programming & Data Processing for Designers

Class 18 A: Course Summary Session - Data in Design

Class 02 A: Lecture - 디자이너를 위한 프로그래밍 & 데이터 구조 / Programming & Data Processing

Class 03 A: Lecture - 벡터 & 포인트 데이터 구조 / Vector & Point Data Structure

Class 05 A: Lecture - Vector: Surface & Brep

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