Sessional Lecturer - Kin8247H: Artificial Intelligence In Sport Analytics

Sessional Lecturer - KIN8247H: Artificial Intelligence in Sport AnalyticsDate Posted: 04/10/2025
Req ID: 42481
Faculty/Division: Faculty of Kinesiology & Physical Education
Department: Faculty of Kinesiology & Physical Education
Campus: St. George (Downtown Toronto)
Description: Course Code: KIN8247H: Artificial Intelligence in Sport Analytics
Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine learning (ML) through practical case studies.
Students will analyze real-world scenarios to understand how AI and ML are applied in various ways, including sport performance optimization, athlete services, injury prevention and rehabilitation, fan and community engagement, and business and financial decision making.
This course emphasizes the use of cutting-edge AI tools and data-driven techniques applied in sport settings.
By engaging with case studies and industry insights, this experience-based approach ensures students gain firsthand knowledge of how AI is transforming sport analytics and prepares them for careers in this rapidly growing field.
Sessional dates of appointment: September 1, 2025 - December 31, 2025
Minimum Qualifications: PhD preferred in a relevant area, or combination of relevant expertise and experience.
Teaching experience in a college or university setting is an asset.
Description of duties:All duties associated with the design and teaching of a university credit course, including preparation and delivery of course content; development, administration, and marking of assignments, tests, and exams; calculation and submission of grades; holding regular office hours; supervising TAs assigned to the course, if applicable.
This course will be taught in person.
Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community.
We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities.
We value applicants who have demonstrated a commitment to equity, diversity, and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members.
Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA).
As such, we strive to make our recruitment, assessment, and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

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