Master in Advanced Computation for Architecture and Design

From automation to infrastructure Before starting this course, I primarily understood Artificial Intelligence in the AEC industry as a productivity tool—something used to automate repetitive tasks, accelerate modeling, or optimize isolated steps within the design workflow. AI was, in my mind, an add-on: powerful, useful, but largely standalone. Over the duration of the course and … Read more

Artificial Intelligence (AI) is changing the Architecture, Engineering and Construction (AEC) industry in ways we’re only beginning to understand. As computational design and software advances and is tasked to handle more complex and data-intensive forms, AI offers real potential to optimize workflows and improve design team collaboration from initial concepts on Schematic Design (SD) to … Read more

AI in AEC is often pitched as a design generator or a shortcut to faster output. We pushed a more real definition: AI’s purpose is decision support, helping teams see risk earlier and choose better options, while humans remain accountable. AEC is a chain of high-stakes decisions made under pressure: feasibility, coordination, procurement, construction risk, … Read more