A Course Planning Method Based on Simulated Annealing Algorithm

With the emergence of emerging interdisciplinary majors, the difficulty of curriculum planning in the professional curriculum system is increasing. In response to the problem, this article proposes a course planning method based on simulated annealing algorithm. The method focuses on optimizing class hour allocation and teaching ranking, with the overall teaching effectiveness of the major as the optimization objective. By comprehensively considering the importance of each course and the connections between courses, the method can efficiently provide course hour allocation and ranking results. Simulation results show that this algorithm can comprehensively consider the importance and connection of courses, and globally coordinate the resources occupied by each course to ensure the optimal overall effect of the major.