Teaching exploration and practice of the Machine Learning Theory course for civil engineering graduate students
The civil engineering industry is at a historical turning point,facing an urgent need for transformation and upgrading,with smart construction playing a core driving role.In this context,the integration of computer sci-ence courses into the educational framework for civil engineering master's programs becomes essential.Machine learning is one of the most critical technologies in artificial intelligence.The teaching of machine learning is not only about the transmission of knowledge but also about cultivating master degree students with a solid theoretical foundation,strong practical abilities,and profound interdisciplinary professional skills,to meet the new era chal-lenges.This is an issue that every civil engineering educator should contemplate deeply.This paper aims to ex-plore the integration of machine learning course content with the professional knowledge background of civil engi-neering,from the perspectives of course design and talent education,to explore the arrangement of Machine Learn-ing Theory,a course tailored for civil engineering graduate students.
Machine Learning Theorycivil engineeringgraduate teachingtalent training
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