Abstract: In the wave of digital transformation in higher education, traditional teaching methods are difficult to mobilize students' learning enthusiasm in the face of the impact of massive information and the challenge of rapid knowledge change. The automotive major course Fundamentals of Control Engineering currently lacks diversified modern teaching methods, knowledge disorder, and fails to fully reflect the latest development trends and cutting-edge technologies. By utilizing the course knowledge graph and digital experimental platform, combined with artificial intelligence (AI) tools,the course content is reformed to form a self-exploration based full process practical course. High quality course ideological and political materials are searched throughout the network to stimulate students' thirst for knowledge and exploration, and to cultivate their ability to explore new technologies. After curriculum reform, student satisfaction with teaching evaluation has significantly increased, and the number of students participating in competitions has significantly increased. This course reform plan provides new ideas for the deep integration of artificial intelligence technology and science and engineering courses.

Key words: artificial intelligence; Fundamentals of Control Engineering; curriculum reform; teaching method

摘要： 在高等教育数字化转型浪潮中，面对海量信息的冲击与知识快速更迭的挑战，传统教 学方法很难调动学生的学习积极性。针对汽车类专业课程控制工程基础缺乏多样化的现代化 教学方法、知识无序且未能充分反映最新发展动态和前沿技术等问题，文章借助课程知识图 谱和数字化实验平台，结合人工智能（AI）工具对课程内容进行改革，形成自主探究式全过 程实践课程，全网络搜索优质课程思政素材，激发学生的求知欲和探索欲，培养学生探索新 技术的能力。经过课程改革，学生评教满意度大幅提升，学生参与竞赛人数明显增加。该课 程改革方案为人工智能技术与理工科课程的深度融合提供新思路。

关键词: 人工智能；控制工程基础；课程改革；教学方法