Abstract: In the context of education digitalization, the need to automate the course scheduling system in colleges and universities has become increasingly urgent. The manual scheduling method currently adopted by many universities is inefficient and prone to uneven resource allocation. This paper proposes an automatic course scheduling system based on backtracking algorithm, which aims to solve the complex course scheduling problem in college teaching management. This system adapts to multiple constraints, including teacher availability, classroom capacity, and student course conflicts. This study models the course scheduling problem as a combinatorial optimization problem and uses backtracking algorithm to explore feasible course scheduling combinations, providing a novel backtracking algorithm-based design idea for the course scheduling in colleges and universities. This design provides a scalable and adaptable solution that can be customized according to the needs of most colleges and universities.

Key words: Backtracking algorithm, Automatic scheduling system, Scheduling issues, Schedule arrangement, University teaching management, Education digitization