Two New Artificial Intelligence Courses to Launch Fall 2026
CSC105H5, Artificial Intelligence Literacy, is built for students across all disciplines to give a broad understanding of what AI systems are, how to evaluate them, how to use them responsibly, and the ethical implications of their use. Importantly, this includes discussion of generative AI and LLMs (How are they trained? Why do they hallucinate? How can they affect your education?), but also includes other topics under the broad umbrella of AI, like search and game playing, supervised learning, and neural networks. There are no prerequisites for this course, and it can be used as a Science credit towards your distribution requirements. We welcome all students. This course will be taught by Professor Joshua Jung.
CSC211H5, Applied Artificial Intelligence Fundamentals, is aimed at Computer Science Majors and Minors who want a hands-on, applied look at AI. The course walks through three approaches side by side: algorithmic/rule-based methods, supervised machine learning, and large language models. Students compare the various approaches, with discussions of safety, privacy, and sustainability throughout. With only CSC148H5 and first-year calculus as prerequisites, it's designed to complement CSC384H5 and CSC311H5 rather than overlap with them. Pending a calendar update, we are planning to have this course count toward CS Major/Minor requirements wherever “CSC209, CSC258, or CSC263” is listed. Students can reach out to the MCS Academic Advisors for details on how it fits into their program. This course is taught by Professor Lisa Zhang.
Both courses are open for enrolment this fall.
