CHUNG-HSIEN KUONguyen, Phuc Thanh ThienPhuc Thanh ThienNguyenWu, Shih LinShih LinWu2023-08-252023-08-252023-06-2997984007013991942647Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/634725Mechanical engineering (ME) students have specific domain knowledge in developing physical systems, such as machines, vehicles and production equipment. Nevertheless, the strong demands of utilizing artificial intelligence (AI) for physical systems to become a cyber-physical system (CPS) is now a commonplace of modern physical systems. Hence, it is necessary to cultivate greater AI design and programming capabilities in ME students. In this poster, the "Intelligent Systems: Theory and Practice"course (ME5061 in ME, National Taiwan University) for senior undergraduate/ graduate students) is presented. This course has been offered once in the spring semester of 2022, and 34 students participated in this course.cyber-physical systems | machine learning | mechanical engineering studentsTeaching Artificial Intelligence in Mechanical Engineering to Cultivate Cyber-physical System Talentsconference paper10.1145/3587103.35941932-s2.0-85166346415https://api.elsevier.com/content/abstract/scopus_id/85166346415