面向AI融合的嵌入式系统课程改革探索

Exploration of Embedded Systems Curriculum Reform for AI Integration

摘要: 面对人工智能与嵌入式系统深度融合的产业趋势，以及新工科建设对跨学科复合型人才的培养要求，传统课程体系存在“知识断层”。研究系统阐述了《智能嵌入式技术》课程改革与实践。课程构建了涵盖“系统认知、硬件平台、软件栈、算法部署、应用集成”五个层次的全栈知识体系，旨在打通从异构硬件到智能应用的知识链路。在教学实施上，创新采用“理论–实践–竞赛”三维驱动模式：通过模块化精讲与案例剖析夯实基础；以贯穿学期、覆盖“感知–决策–控制”闭环的综合性项目驱动深度工程实践；并通过对接高水平学科竞赛，淬炼学生创新与解决复杂工程问题的能力。

Abstract: Faced with the industrial trend of deep integration between artificial intelligence and embedded systems, as well as the requirements of Emerging Engineering Education for cultivating interdisciplinary and composite talents, traditional curriculum systems suffer from a “knowledge gap.” This study systematically elaborates on the reform and practice of the “Intelligent Embedded Technology” course. The course constructs a full-stack knowledge system covering five levels: “system cognition, hardware platform, software stack, algorithm deployment, and application integration,” aiming to bridge the knowledge pathway from heterogeneous hardware to intelligent applications. In terms of teaching implementation, it innovatively adopts a “theory-practice-competition” three-dimensional driven model: solidifying the foundation through modular intensive lectures and case analysis; driving in-depth engineering practice with semester-long comprehensive projects covering the “perception-decision-control” closed loop; and refining students’ innovation and complex problem-solving abilities by connecting with high-level academic competitions.