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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

00:11:38

3-Lecture CD 44 2022 05 Special Lecture-Design, Data,...

NJ"s Computation for Design ·

2025/09/05

https://youtu.be/1LoJiQ7gzUI?list=TLGGfY_XJum7NJcyNjA4MjAyNQThe Future of Design, Data, and Computational DesignCondensed Briefing Summary (≈2000 characters)This lecture, aimed at first-year design students, emphasizes the crucial role of data, coding, and computational design thinking in shaping the future of design. Drawing on professional experience in the data industry, the speaker provides motivation and strategies to prepare for a rapidly evolving era.We live in an age of exploding information

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00:17:48

Eng Public Lecture - Design & Data, DigitalFutures 2020

NJ"s Computation for Design ·

2025/08/26

Data, Design, and Computation: A New Design ParadigmBriefing Summary from NJ Studio (NJ Namju Lee)NJ Namju Lee emphasizes the central role of data in design, particularly in computational design. He argues for a shift from seeing data as separate input toward integrating it as a fundamental component of design thinking and practice. His lectures outline three interconnected pillars:Data – Data exists everywhere, in daily life and design. Anything measurable, recognizable, or computable (from

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00:10:00

Class 18 A: Course Summary Session - Data in Design

NJ"s Computation for Design ·

2025/06/28

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

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00:15:00

Class 17 B: Workshop - CAD System Application &...

NJ"s Computation for Design ·

2025/06/25

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

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00:14:43

Class 17 A: Lecture - CAD System Application &...

NJ"s Computation for Design ·

2025/06/20

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

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00:11:42

Class 16 A: Lecture - Design visualization

NJ"s Computation for Design ·

2025/06/18

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

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00:15:28

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

NJ"s Computation for Design ·

2025/06/16

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,

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00:15:08

Class 14 A: Lecture - Data visualization

NJ"s Computation for Design ·

2025/06/13

This lecture consists of excerpts from two video lectures and a related briefing document focusing on the topic of data visualization within a design context. The lectures emphasize that data requires visualization to be understood by humans, serving both for analysis to uncover patterns and for communication to convey insights effectively. They outline a three-stage process: recording, analyzing, and communicating data visually, highlighting the distinct strengths of human visual

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00:17:31

Class 13 A: Lecture - Dynamics & Agent System

NJ"s Computation for Design ·

2025/06/11

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

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00:14:28

Class 12 B: Lecture - Design Algorithm & Optimization

NJ"s Computation for Design ·

2025/06/08

These sources, primarily drawn from a lecture on design algorithms and optimization, introduce algorithmic thinking as a method for tackling design challenges. They discuss bottom-up approaches that build from foundational data structures and algorithms, contrasting them with top-down approaches that start with the design problem itself. The lecture explains both deterministic algorithms, which yield consistent results, and stochastic methods, which incorporate randomness, as valuable tools for

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00:12:30

Class 12 A: Lecture - Design Algorithm & Optimization

NJ"s Computation for Design ·

2025/06/06

These sources primarily focus on design algorithms and optimization, arguing that these are not merely technical tools but are inherently integrated with the design process itself. They emphasize the importance of computational thinking for designers and suggest that understanding an engineering mindset, particularly in software, is crucial for applying computational methods effectively. The texts provide an overview of foundational algorithm types (like deterministic vs. stochastic and brute force

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00:15:15

Class 11 B: Lecture -AI-aided Design

NJ"s Computation for Design ·

2025/06/04

This presentation explores AI-aided design, starting with the fundamental concept of generative models like pix2pix, which learn to create new images based on paired input and output data. It then discusses more complex applications such as creating 3D objects from sketches and generating maps using geographical data. The speaker also introduces Large Language Models (LLMs), explaining their architecture, the evolution from RNNs to Transformers, and the concept of fine-tuning and embedding to

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00:13:46

Class 11 A: Lecture - AI-aided Design

NJ"s Computation for Design ·

2025/06/03

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

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00:12:39

Class 10 D: Lecture -AI for Designers

NJ"s Computation for Design ·

2025/06/02

These sources, including a video lecture and a briefing document, focus on the growing importance of AI and data skills for designers. They emphasize the necessity of learning fundamental libraries like NumPy and Pandas for data processing and analysis, likening their importance to design tools like Photoshop or SketchUp for architects. The materials cover key machine learning libraries such as PyTorch and TensorFlow, different types of datasets, and basic machine learning concepts, while

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00:31:57

Class 10 C: Lecture - AI for Designers

NJ"s Computation for Design ·

2025/06/01

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

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00:21:36

Class 10 B: Lecture - AI for Designers

NJ"s Computation for Design ·

2025/05/30

These lectures discuss artificial intelligence (AI), particularly focusing on the distinctions between analytical AI, which understands and explains data, and generative AI, which creates new content. The speaker raises concerns about the current hype around generative AI, arguing that many users lack a fundamental understanding of machine learning models and data structures. A significant issue highlighted is hallucination in generative models, where they produce incorrect or nonsensical

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00:11:51

Class 10 A: Lecture - AI for Designers

NJ"s Computation for Design ·

2025/05/29

These sources feature a lecture on AI for Designers, aiming to clarify common misunderstandings and highlight the importance of technical understanding over mere imagination. The speaker contrasts traditional programming (Software 1.0) with data-driven machine learning (Software 2.0), presenting AI fundamentally as data handling and an "intelligence revolution" driven by speed and accessible knowledge. A core message is that designers must move beyond superficial trends and marketing hype

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00:13:54

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

NJ"s Computation for Design ·

2025/05/28

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

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00:18:36

Class 09 A: Lecture - Raster: Pixel & Voxel map Data...

NJ"s Computation for Design ·

2025/05/27

These video lecture excerpts primarily discuss pixel and voxel data structures within the context of computational design, highlighting their importance in handling spatial information. The lectures explain how 2D images (pixels) and 3D volumes (voxels) can be understood as grids of numerical data, similar in concept to graphs but often better suited for continuous information. The speaker elaborates on how these data types enable image processing techniques, including color manipulation and

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00:15:27

Class 08 B: Workshop - Graph & Network

NJ"s Computation for Design ·

2025/05/25

These excerpts showcase workshops focused on graph data structures and analysis within computational design contexts. The content covers foundational programming concepts like classes, nodes, and edges, explaining how to represent graph data, including handling positional information (XYZ) and creating weighted edges. Various graph algorithms, such as Breadth-First Search (BFS), Dijkstra's algorithm, and A search*, are discussed for tasks like finding the shortest path. The sources also demonstrate

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36 results

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