Selected Topics in Architecture: Generative Design Thinking & Workflows

SOURCE: Student Work 2020

ARC3205H S
Instructors: Matthew Spremulli
Meeting Section: LEC0101
Wednesdays, 6:00 PM - 9:00 PM



Generative Design represents a definitive shift in the practice of how to conceptualize, design, and fabricate. At its core, Generative Design is a strategy that augments human capabilities by leveraging the power of Artificial Intelligence (AI) for guided design iteration. The practice leverages algorithms and automation to generate designs while asking the designers to counterbalance this with intentional direction and curation (based on goals). The tools that support this emerging practice can be leveraged to either optimize or explore a vast design-space.

This course will introduce Generative Design as it applies to the domain of architectural design from site-design to details (although other disciplines are welcome) - including the concepts, workflows, and toolkit needed to incorporate GD ‘studies’ into a design practice. These aspects will be delivered in a hybrid format; combining theoretical lectures, with hands-on workshops, exercises, and guest lectures.

Students will be introduced to several different tools and workflows and apply their learnings towards small demonstration projects. There will be an emphasis on how to communicate and visually represent the use of AI in design with different audiences. Students are strongly encouraged to bring in material from other courses, projects, and/or their emerging thesis interests as ‘case-study’ material to experiment on for their demonstration projects. As such, in order to complete course work, students are expected to be comfortable with embracing new computational design technology.