CSC2558: Topics in Multidisciplinary HCI: Designing Intelligent Self-Improving Systems Through Human Computation, Randomized A/B Experiments and Statistical Machine Learning

Abstract:
This course covers topics in HCI that draw on methods and theories from other subfields of computer science and other scientific disciplines, in developing computational principles for designing user-facing systems. Students will learn how to design experiments to investigate the design of technology by drawing on methodology and theories from social and behavioral sciences, as well as to adapt user technologies using models and algorithms from fields such as statistics, machine learning, and artificial intelligence.

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