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