Dynamic Programming and Stochastic Control aims to cultivate students' deep understanding and practical application abilities in modeling and control of dynamic systems and stochastic environments. By delving into the core concepts and algorithms of dynamic programming, as well as the optimal control theory in stochastic control, students will have the skills to analyze and solve complex problems. The course emphasizes the application of theoretical knowledge to practical situations, cultivating students' problem-solving skills, teamwork spirit, and practical application skills in dynamic and uncertain environments through case analysis, project practice, and experiments