人工智能驱动的自动化新工科专业建设探索与实践  

Exploration and Practice of the “Automation Driven by Artificial Intelligence” New Engineering Major Construction

作　　者：陈东岳[1] 刘建昌[1] 潘峰[1] 杨涛[1] 常玉清[1] 王洪峰[1] 谭树彬[1] 邱菊[1] CHEN Dongyue;LIU Jianchang;PAN Feng;YANG Tao;CHANG Yuqing;WANG Hongfeng;TAN Shubin;QIU Ju(College of Information Science and Engineering,Northeastern University,Shenyang 100819,China)

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳100819

出　　处：《控制工程》2024年第9期1675-1684,共10页Control Engineering of China

摘　　要：在新工科专业改革的大背景下,围绕人工智能与自动化交叉融合的主题,针对相关专业背景和知识体系特点,介绍和讨论了自动化新工科专业的建设思路与改革举措。然后,结合东北大学信息科学与工程学院的自动化新工科专业建设工作,对上述建设方案进行了系统性的探索与实践,在课程体系设计、教学资源建设和教学质量保障等方面进行了大量有益的尝试,并对相应的建设成果与问题进行了总结与分析,为人工智能驱动的自动化新工科专业建设探索了可供参考的实践方案。With a focus on the intersection and integration of artificial intelligence and automation under the background of the reform of new engineering majors,the paper introduces and discusses the construction ideas and reform measures of the new engineering major of automation.Combining with the construction work of the automation new engineering major of College of Information Science and Engineering in the Northeastern University,the paper systematically explores and practices the above-mentioned construction plan by making various beneficial attempts in the majors' layout,course system design,teaching resource construction,and teaching quality assurance.It summarizes and analyzes the corresponding construction experience and lessons learned,and explores practical solutions for the construction of automation new engineering major driven by artificial intelligence.

关 键 词：新工科专业 自动化 人工智能 课程体系 教学改革 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G642[自动化与计算机技术—控制科学与工程]