Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students

Xiaoping Du, Jianhua Yin
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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.
向机械工程专业学生教授机器学习分析与设计
机器学习在机械工程中已经变得非常普遍,并且已经被确定为当前和未来职业所需的关键技能。为了跟上行业快速变化的步伐,将机器学习纳入机械工程课程至关重要。一个解决方案是专门针对机械工程专业的学生开设一门新的机器学习课程。在本文中,我们讨论了机械工程中机器学习教育的需求和目标。我们还展示了在机械工程中应用机械加工学习的挑战,以及如何应对教学中的挑战。然后我们报告了我们在开发新的机器学习课程以及在工程分析和设计中使用机器学习方面所做的工作。我们证明,使用适当的例子、案例研究和项目是教授和学习机器学习的最佳方法之一。我们的经验为其他教授或打算教授相同或相关课程的教师提供了有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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