A Strong Foundation for AutoTroph Computational Thinking
This course was especially valuable for my AutoTroph research because it develops the kind of computational thinking needed to work with adaptive architectural systems. The progression from mathematical surfaces and data structures to recursive algorithms, meshes, and volumetric modeling shows how design can emerge from rules, relationships, and feedback. Rather than treating Grasshopper as a form-making tool, the workshop encourages participants to design the process itself, which closely aligns with my interest in architectures that can respond, transform, and evolve.