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Game Studies

From board games to AI: learn to think strategically with game theory.

Time of day
Afternoon
Length
3 weeks · 15 hours a week
Sessions
June / July / August
English
Advanced (CEFR C1)
Open to
Ages 15–18
The St. George campus at dusk, with University College beyond the lawn

What youwill study.

This course introduces students to game theory, a key concept in computer science that helps machines and people make smart decisions. Students will see how algorithms and artificial intelligence use strategies to play games, solve problems, and adapt to different situations.

Starting with board games and simple video games, they will explore how players anticipate opponents, cooperate, or compete to achieve the best outcome. From there, they’ll connect these ideas to other academic subjects like economics, biology, and even social policy, showing the wide reach of game theory. No computer science background is needed—just curiosity and an interest in strategy and problem-solving.

This course introduces concepts through lectures, texts, and participation tasks that lead toward successful completion of a final course project involving a small-scale project.

* The university notes that the content of this course is subject to change.

A good fit if:

  • You plan to pursue post-secondary education and/or have strong interest in artificial intelligence and gaming
  • You have beginner or no experience with coding language
  • You want to practice language and develop academic skills for success in university courses
  • You enjoy a challenging study environment

Source: University of Toronto International Programs

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