摘要
土木工程行业正处于历史的转折点,面临转型升级的紧迫需求,智能建造在其中起到核心的驱动作用。在此背景下,将计算机科学课程融入土木工程硕士研究生教育体系势在必行。机器学习是人工智能中最重要的技术之一。机器学习的教学不仅要传授知识,更要培育具备坚实理论基础、较强实践能力、深厚跨学科专业素养的硕士研究生,以适应新时代的需求。这是值得每一位土木工程领域教师深思的议题。教师应探讨机器学习课程内容与土木工程专业知识背景之间的融合,从课程设计和人才培养的视角,探索面向土木工程专业研究生的“机器学习理论”课程内容安排。
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.
出处
《科教文汇》
2025年第1期95-99,共5页
Journal of Science and Education
基金
深圳大学青年教师教学能力培养薪火计划项目
上海市科学技术委员会“科技创新行动计划”启明星培育项目(21YF1449300)
国家自然科学基金青年科学基金项目(52208197)。
关键词
机器学习理论
土木工程
研究生教学
人才培养
Machine Learning Theory
civil engineering
graduate teaching
talent training
作者简介
张明阳(1991-),男,博士,助理教授,研究方向为混凝土工学、结构可靠性评估、人工智能在土木工程中的应用。
