【作者】 师皓； 尹逸斐； 陈禾； 陈亮；

【Author】 SHI Hao;YIN Yifei;CHEN He;CHEN Liang;School of Information and Electronic, Beijing Institute of Technology;Beijing Key Laboratory of Embedded Real-Time Information Processing Technology;

【机构】 北京理工大学信息与电子学院； 嵌入式实时信息处理技术北京市重点实验室；

【摘要】 在新工科背景下,为了适应人工智能飞速发展的浪潮,高校开展机器学习课程成为必然趋势。为培养学生自主创新能力,贯彻落实科教兴国的课程思政精神,贯彻"以人为本"的教学理念,机器学习课程需要深入挖掘课程中的思政元素,完成课程教学内容的前提下培养学生的核心价值观。立足于机器学习课程教学现状展开研究,结合自身教学实践经验,充分发掘教学背后的改革思想与方向。《机器学习导论》课程作为本科专业选修课,针对目前授课现状及问题,提出了教学模式改革建议,倡导全方面、严体系、新策略实施改革建设,从而培养出满足国家需求的专业型人才。这种新型的教学设计,为机器学习课程以及其余工科课程的新范式改革提供了重要参考。更多还原

【Abstract】 Under the background of new engineering, to adapt to the wave of rapid development of artificial intelligence, it has become an inevitable trend to develop machine learning courses in universities. Aimed at cultivating students’ ability of independent innovation, it implements the spirit of ideology in science and education,and carries out the teaching concept of "people-oriented", the machine learning course needs to deeply explore the ideology education elements in the course and cultivate students’ core values while completing the teaching content of the course. Based on the current situation of teaching machine learning courses, this paper combines its own teaching experience to fully explore the reform ideas and directions behind the teaching. As an elective course for undergraduate majors, the "introduction to machine learning" course proposes a reform of the teaching mode in response to the current situation and problems of the machine learning course, advocating a holistic,strict system and new strategies to implement reform and construction, so as to cultivate professional talents that meet the needs of the country. This new teaching design provides an important reference for the machine learning course as well as the rest of the engineering courses.更多还原