人工智能赋能下运筹学课程“五维度”教学体系构建与实践

Construction and Practice of the “Five-Dimension” Teaching System of Operations Research Course Empowered by Artificial Intelligence

摘要: 在人工智能与新工科建设深度融合的背景下，运筹学作为数学与统计类专业的核心课程，面临教学内容更新滞后、实践环节薄弱、与智能技术结合不紧密、产学协同不足等问题。为培养适应智能决策时代需求的复合型应用人才，本文以人工智能赋能为抓手，构建课程内容、课程设计、学科竞赛、校企合作、创新创业五维度运筹学课程体系。通过重构知识模块、创新教学模式、强化实践训练、完善评价机制，推动传统运筹学教学向“理论 + 智能算法 + 工具应用 + 工程实践”转型，形成理论与实践贯通、教学与产业对接、能力与创新并重的闭环育人模式。实践表明，该体系能有效提升学生的建模能力、算法应用水平与解决复杂实际问题的能力，为同类专业课程改革提供参考。

Abstract: Against the background of the in-depth integration of artificial intelligence and emerging engineering education, operations research, as a core course for mathematics and statistics majors, is confronted with problems such as outdated teaching content, weak practical links, insufficient integration with intelligent technologies, and inadequate industry-university collaboration. To cultivate interdisciplinary applied talents who meet the requirements of the intelligent decision-making era, this paper takes artificial intelligence empowerment as the starting point, and constructs a five-dimensional curriculum system of operations research from curriculum content, curriculum design, discipline competitions, school-enterprise cooperation, and innovation and entrepreneurship. By reconstructing knowledge modules, innovating teaching modes, strengthening practical training, and improving evaluation mechanisms, the traditional operations research teaching is transformed to an integrated model of “theory + intelligent algorithm + tool application + engineering practice”, forming a closed-loop education mode that connects theory with practice, integrates teaching with industry, and emphasizes both ability and innovation. Practice shows that the system can effectively improve students’ modeling ability, algorithm application level and ability to solve complex practical problems, providing a reference for the curriculum reform of similar majors.