{"title":"Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students","authors":"Xiaoping Du, Jianhua Yin","doi":"10.1115/detc2022-87482","DOIUrl":null,"url":null,"abstract":"\n Machine learning has become pervasive in mechanical engineering and has been identified as a key skill required by current and future careers. It is crucial to include machine learning in the mechanical engineering curriculum to keep up with the quick-changing pace of the industry. One solution is to offer a new machine learning course specifically targeting mechanical engineering students. In this paper, we discuss the needs and objectives of machine learning education in mechanical engineering. We also show the challenges in applying machining learning in mechanical engineering and how to deal with the challenges in teaching the subject. We then report what we have done in developing a new machine learning course and using machine learning in engineering analysis and design. We demonstrate that using appropriate examples, case studies, and projects is one of the best ways to teach and learn machine learning. Our experiences provide useful information to other instructors who teach or intend to teach the same and related courses.","PeriodicalId":270086,"journal":{"name":"Volume 4: 19th International Conference on Design Education (DEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 4: 19th International Conference on Design Education (DEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/detc2022-87482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Machine learning has become pervasive in mechanical engineering and has been identified as a key skill required by current and future careers. It is crucial to include machine learning in the mechanical engineering curriculum to keep up with the quick-changing pace of the industry. One solution is to offer a new machine learning course specifically targeting mechanical engineering students. In this paper, we discuss the needs and objectives of machine learning education in mechanical engineering. We also show the challenges in applying machining learning in mechanical engineering and how to deal with the challenges in teaching the subject. We then report what we have done in developing a new machine learning course and using machine learning in engineering analysis and design. We demonstrate that using appropriate examples, case studies, and projects is one of the best ways to teach and learn machine learning. Our experiences provide useful information to other instructors who teach or intend to teach the same and related courses.