最优化理论与算法课程教学改革与实践
Teaching Reform and Practice of Optimization Theory and Algorithm

针对最优化理论与算法课程内容多学时少、知识跨度大、理论抽象，以及学生在学习过程中存在学习目的模糊、学习动机不明确、学习结果预期一般、理论与实践脱节等问题，提出依托案例重构课程内容、融合应用打通理论与实验、开设专题完善课前课后学习内容、探索创新强化授课效果的课程教学改革与实践，突出课程学以致用的要求，将理论学习、动手能力培养、分析与解决问题能力的培养充分结合于教学中。
Aiming at the problems of the course content of optimization theory and algorithm, such as more class hours and less, large knowledge span, abstract theory, and the students’ vague learning purpose, unclear learning motivation, general expectation of learning results, and the disconnection between theory and practice in the learning process, this paper proposes to reconstruct the course content based on cases, integrate applications to get through theory and experiments, set up special topics to improve the learning content before and after class, explore and innovate the curriculum teaching reform and practice to strengthen the teaching effect, highlight the requirements of curriculum learning for application, and fully integrate the theoretical learning, practical ability training, analysis and problem-solving ability training into teaching.