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The David R. Cheriton School of Computer Science is globally recognized for excellence in education, scholarship, investigation, and career preparation. We draw outstanding students worldwide to learn and collaborate with our distinguished faculty. Engage in diverse research initiatives alongside world-renowned experts. Our investigations cover the entire spectrum of computer science, from fundamental systems, theoretical foundations, and programming languages to human-centered computing, molecular and quantum computation, alongside both theoretical and practical machine learning applications. Graduate students benefit from: Dedicated research laboratory facilities. Chances to disseminate findings in leading academic venues. Opportunities to showcase work at major conferences attended by colleagues, industry professionals, and subject matter authorities. PhD candidates enjoy autonomy to explore their chosen research domains under faculty guidance. Those continuing academic inquiry will collaborate with advisors to craft original theses. Doctoral students must produce significant research that advances their field of study.
Human-computer interaction (HCI) examines the creation, assessment, and deployment of interactive computing technologies. Essentially, we enhance system usability, performance, and engagement. To achieve this, HCI integrates knowledge from diverse disciplines including psychology, sociology, visual design, and engineering. Active investigations explore collective intelligence platforms, public participation in science, motion-controlled interfaces, tactile input methods, innovative uses of machine learning and data search in consumer applications, and the fusion of artistic practice with HCI. Our HCI researchers participate in the GRAND digital media network and maintain partnerships with industry leaders like Google and Pinterest; research facilities including Microsoft Research and PARC; cultural organizations such as London's Natural History Museum; and academic collaborators at institutions like University of Toronto, INRIA, and Harvard University.