NJ's Design & Computation

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半周一更
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半周一更

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 分钟
6月18日

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

6月18日

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6 分钟
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 分钟
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 分钟
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 分钟
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 分钟
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 分钟
6月3日

Class 11 A: Lecture - AI-aided Design

This presentation examines how machine learning and AI can be applied to design processes, emphasizing the importance of data as a design material. It discusses various data types and how they influence the choice of analytical and generative models. The material explores essential concepts like data preprocessing (scaling, handling missing values, outlier removal), dimensional reduction (PCA, t-SNE), and the crucial role of data splitting (training, validation, testing) to create generic and robust models. Different machine learning problems such as regression, classification, and clustering are illustrated with examples, along with techniques like ensemble modeling and various neural network architectures (dense, convolutional, recurrent). https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

6月3日

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14 分钟
6月11日

Class 13 A: Lecture - Dynamics & Agent System

These sources, a lecture series and accompanying briefing documents, provide an overview of Dynamics and Agent Systems within the context of Data in Design, building on foundational concepts like geometry and algorithms. They explain how dynamic systems, which account for time-dependent states, and agent systems, which model the behaviors and interactions of individual components within an environment, offer powerful approaches for tackling complex design challenges. Spring models and particle systems are highlighted as core examples of dynamic simulation, while the Flocking/Boids algorithm illustrates collective agent behavior. The lectures strongly emphasize the necessity of Object-Oriented Programming (OOP) for structuring these systems and the importance of hands-on coding for practical understanding, concluding that formulating design problems in a computationally solvable way is key to leveraging these methods for generating emergent and interactive designs. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

6月11日

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18 分钟
5月28日

Class 09 B: Workshop - 래스터: 픽셀 & 복셀 데이터 구조 / Raster: Pixel & Voxel map Data Structure

소스 자료는 픽셀과 복셀 데이터 구조를 활용한 컴퓨테이셔널 디자인 워크숍의 내용을 담고 있습니다. 이 자료는 연결성 정의와 데이터 스무딩이 픽셀 및 복셀 데이터 구조를 다루는 데 있어 가장 중요함을 강조하며, 주변 픽셀/복셀 간의 정보 전파 및 영향을 설명합니다. 또한, 이러한 데이터 구조를 활용하여 지형 생성, 데이터 시각화, 이미지 처리, 그리고 환경 분석 등 다양한 디자인 및 분석 작업을 수행하는 방법과 함께 기본적인 프로그래밍 개념 및 객체 지향 프로그래밍의 중요성을 역설합니다. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

5月28日

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6 分钟

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

热门节目排行

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

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 02 B: Workshop - Programming & Data Processing for Designers

Class 18 A: Course Summary Session - Data in Design

Class 11 A: Lecture - AI-aided Design

Class 13 A: Lecture - Dynamics & Agent System

Class 09 B: Workshop - 래스터: 픽셀 & 복셀 데이터 구조 / Raster: Pixel & Voxel map Data Structure

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