现实数据驱动的“数学建模”教学改革研究  

Data-driven Reform of Mathematical Modeling Instruction

作　　者：王松静[1] 奚李峰[1] 

机构地区：[1]宁波大学理学院,浙江宁波315211

出　　处：《宁波大学学报（教育科学版）》2017年第5期76-80,共5页Journal of Ningbo University(Educational Science Edition)

基　　金：宁波大学教研项目"现实数据驱动的<数学建模>热传导机制小组化课堂改革研究"(jyxmxzd1724);浙江省哲学社会规划课题"营改增政策红利在细分行业间的传导机制及综合评价体系研究"(17NDJC108YB)

摘　　要：大数据时代的社会发展对数据处理人才的需求越来越大,而"数学建模"课程也应紧跟时代步伐,积极开展课程改革研究,以适应大数据人才培养的社会需求。本文基于"数学建模"课程,围绕着"数据分析与处理"核心对课程的形式与内容进行改革:首先面向现实数据案例,基于学习能力与氛围的热传递原理,以学生为中心,针对性地构建组内差异化、组间均衡化的小组合作教学形式;其次以小型化项目为载体,让一批优秀的学生接触社会实际项目,将教学延伸到课外,实现知识走出课堂、面向实际应用,提升学生大数据分析与处理的能力。There has been an increasing demand for data analytic professionals in the era of big data. To meet the market needs of qualified data-related professionals, the course of Mathematical Modeling needs to be revised in the pace of times. This paper aims to consider the reform of mathematical modeling instruction focused on ＂data processing and analysis＂ in terms of both format and content. We emphasize the case study of real data, differentiating and cooperative group work in balance from the perspective of heat conduction on learning ability and atmosphere. And efforts can be made to expose the outstanding students to some practical projects of actual applications in industry that will put the classroom learning into practice and significantly enhance student＇s ability of analyzing big data.

关 键 词：数学建模 现实数据 教学改革 热传递 

分 类 号：G642.46[文化科学—高等教育学]