Sessional Lecturer - KIN8247H: Artificial Intelligence in Sport Analytics

University of Toronto • Toronto, ON

9d • Onsite

About The Position

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 a number of ways including, as a few examples, 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.

Requirements

• PhD preferred in a relevant area, or combination of relevant expertise and experience

Nice To Haves

• Teaching experience in college or university setting is an asset

Responsibilities

• All duties associated with the design and teaching of a university credit course
• 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

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree