NJ's Design & Computation

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28 ИЮН.

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

28 июн.

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10 мин.
13 МАЯ

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 мая

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14 мин.
14 МАЯ

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

14 мая

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13 мин.
10 МАЯ

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

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 traditional implicit processes. The instructor also touches on essential skills like debugging and utilizing APIs to interact with design software, highlighting how embracing technology and its underlying principles is crucial for designers. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

10 мая

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34 мин.
15 МАЯ

Class 03 A: Lecture - Vector & Point Data Structure

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 vector operations such as scaling, addition, subtraction, and dot and cross products, highlighting how these operations are crucial for understanding the relationships between vectors and solving geometric problems like calculating angles, finding midpoints, and performing projections. Finally, the concept of transformations using matrices to manipulate geometric data is briefly touched upon, emphasizing how these core principles underpin much of computational design. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

15 мая

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18 мин.
16 МАЯ

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 мая

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11 мин.
25 ИЮН.

Class 17 B: Workshop - CAD System Application & Development for Design Research and Project

The provided sources offer an overview of computational design software development, emphasizing the integration of data design principles. They explore various development environments and tools, such as Unity for cross-platform deployment and Three.js/Babylon.js for web-based 3D graphics, alongside fundamental concepts like design process pipelining and event handling. The materials also discuss the importance of building personal software libraries and the philosophical underpinnings of a computational designer, stressing continuous learning and meta-cognition to challenge conventional approaches. Ultimately, the content aims to guide students in applying these concepts to develop and distribute meaningful software for their design projects. https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

25 июн.

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15 мин.
20 ИЮН.

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 июн.

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15 мин.
18 ИЮН.

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 июн.

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12 мин.
16 ИЮН.

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 июн.

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15 мин.

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 18 A: Course Summary Session - Data in Design

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

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

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

Class 03 A: Lecture - Vector & Point Data Structure

Class 03 B: Workshop - Vector & Point Data Structure

Class 17 B: Workshop - CAD System Application & Development for Design Research and Project

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

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NJ's Design & Computation

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