You can pursue Specialist programs in Computer Science or Data Science, or a Major or Minor in Computer Science.Ī Minor in Computer Science provides an introduction to theoretical and applied computer science as a complement to your studies in other areas, and allows you to take up to three 300+ level computer science courses.Ī Major in Computer Science builds on the content of the Minor, preparing you for upper-year computer science study with options to explore a few topics more deeply. In the area of human-computer interaction, we ask what sorts of normal day-to-day activities of people might be supported and augmented using computers. In the area of artificial intelligence, for example, we ask how the function of the human brain can be expressed in computational terms. Part of Computer Science is concerned with understanding just how far computational ideas can be applied. Computers were originally conceived as purely numerical calculators, but today, we tend to view them much more broadly. The second theme concerns the scope of computation. In the theory of computation area, we study resource requirements in time and memory of many basic computational tasks. In the area of programming languages and methodology, for example, we look for notations for describing computations, and programming methodologies that facilitate the production of manageable and efficient software. The first is the issue of scale: how big a system can we specify without getting lost in the design, or how big a task can a computer handle within reasonable bounds of time, memory, and accuracy? A large part of Computer Science deals with these questions in one form or another. There are, however, two recurring themes. In trying to make sense of what we can get a computer to do, a wide variety of topics come up. This is the real subject matter of Computer Science: computation, and what can or cannot be done computationally. What these tasks have in common has little to do with the physics or electronics of computers what matters is that they can be formulated as some sort of computation. Indeed, the application of computers in activities like these has affected most areas of modern life.
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Computers are quite remarkable electronic devices, but even more remarkable is what they can be made to do: simulate the flow of air over a wing, manage communication over the Internet, control the actions of a robot, synthesize realistic images, play grandmaster-level chess, learn how to automatically translate between languages, and on and on. Yuen, PhD Introduction What is Computer Science?ĭespite the name, Computer Science is not really a science of computers at all. Zhang, PhD (University of Toronto Scarborough) Vijaykumar, PhD (University of Toronto Scarborough)
Shkurti, PhD (University of Toronto Mississauga) Saileshwar, PhD (University of Toronto Mississauga)į. Sachdeva, PhD (University of Toronto Mississauga) Pekhimenko, PhD (University of Toronto Scarborough) Gilitschenski, PhD (University of Toronto Mississauga) Garg, PhD (University of Toronto Mississauga) Anderson, PhD (University of Toronto Scarborough)Ī. Fidler, PhD (University of Toronto Mississauga)Ī. Burgner-Kahrs, PhD (University of Toronto Mississauga) Bonner, MSc, PhD (University of Toronto Mississauga) Wigdor, MSc, PhD (University of Toronto Mississauga)Ī. Schroeder, MSc, PhD (University of Toronto Scarborough)ĭ. Molloy, MMath, PhD (University of Toronto Scarborough)ī. Koudas, MSc, PhD (University of Toronto Scarborough) Hadzilacos, PhD (University of Toronto Scarborough) Fleet, MSc, PhD (University of Toronto Scarborough) Rackoff, PhD (University of Toronto Mississauga)Īssociate Professor, Teaching Stream Emeritusĭ. Hirst, MSc, PhD (University of Toronto Scarborough)Ĭ. Enright, MSc, PhD (University of Toronto Scarborough) For an up-to-date list of faculty and administrative roles, please see )
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