Abstract:
It is imperative to transform the traditional engineering education model, build an interdisciplinary knowledge system, and cultivate compound talents that meet the needs of the new era. This research analyzes the deep integration of intelligent manufacturing and artificial intelligence, clarifies the shortcomings and industry needs of the intelligent manufacturing professional course construction, explores innovative measures such as course content updates, teaching method innovation, and practice strengthening, and proposes a variety of reform practice paths.
传统工程教育模式转型势在必行,要构建跨学科知识体系,培养适应新时代需求的复合型人才。文章分析了智能制造与人工智能的深度融合,阐明了智能制造专业课程建设存在的不足及行业需求,探究了课程内容更新、教学方法创新及实践环节强化等创新举措,并提出了多种改革实践路径。