The MAA is a visionary master program with an innovative and open structure, mixing diverse disciplines, shaping professionals capable of producing theoretical & practical solutions towards responsive cities, architecture & technology.
This course introduces students to the fundamentals of Machine Learning (ML). By working in groups, the class develop an “architectural” case study, where they generate their own dataset, and train a model for a deployment case of their choice. This gives students hands on experience with ML, focussing on process and critically evaluating their workflows.
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Quantifying the Opposite of Boredom For decades, architectural design has relied on intuition. Client feedback and peer reviews are inherently subjective, and by the time you can gather real human response data on a facade, the building is already standing. But what if we could predict whether a building will be visually engaging before a … Read more
