Special topics such as experimental structures and architural preservation. For current offerings, see department website.

Accommodating predicted population growth and urbanization within the UN Climate Goals poses a significant challenge for disciplines that engage with the built environment. High-performing buildings of the future should offer spatial quality for their users while utilizing resources as efficiently as possible for both construction and operation. This class will examine the potential of co-designing buildings with new types of generative design methods and geometric algorithms, and how they can help us design more sustainable building systems across scales. We will use quantitative tools from data and computer science and apply them to a design context. The goal of the class is to develop a deep understanding of contemporary digital design methods and how they can be applied to the design of residential buildings that use less materials to be built or less energy to be operated. Case studies and use cases will range from experimental structures to public housing.

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