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NJ's Computation for Design
NJ Namju Lee
36 episodes
1 week ago
This podcast offers an AI-generated summary of a Design & Computation lecture or talk featured on NJChannel.
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Design
Arts
RSS
All content for NJ's Computation for Design is the property of NJ Namju Lee and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
This podcast offers an AI-generated summary of a Design & Computation lecture or talk featured on NJChannel.
Show more...
Design
Arts
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Class 12 A: Lecture - Design Algorithm & Optimization
NJ's Computation for Design
12 minutes 30 seconds
7 months ago
Class 12 A: Lecture - Design Algorithm & Optimization

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 vs. heuristic) and essential data structures (including lists, graphs, and queues), illustrating their relevance through practical design examples. Ultimately, the sources posit that algorithms and optimization are ways for designers to express their intentions and guide their creative endeavors.

https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

NJ's Computation for Design
This podcast offers an AI-generated summary of a Design & Computation lecture or talk featured on NJChannel.