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In the last few years, the use of AI models has exploded, causing significant impacts across the globe. But what even is AI? And can it do all the things that people say it can? In this course, students will build the skills required to distinguish between AI fact & fiction by engaging with both the computing principles behind AI models and interdisciplinary perspectives on their development and use. Coursework will include weekly readings, reflective writing, creative projects, and in-class discussions.

Computer scientists often study algorithms at a high level of abstraction to enable mathematical tools; activities that make this more concrete can deepen learning. This project-based course challenges students to make the theory tangible through the design and fabrication of physical artifacts. Situated in the Fimbel Maker & Innovation Lab, students will be taught core "maker" techniques through hands-on lab activities while simultaneously being exposed to algorithms from computational geometry and beyond.