摘要
大数据的五V特征对数学建模教学产生新的冲击,这表现在课程目标、课程内容、教学手段等方面。面对样本数据收集的信息化、自动化、全样本和大数据化,课程应更加侧重于发现海量数据下各种关联细节的相关分析能力的培养;在教学内容上,应增加反映兼顾大数据和信息技术特点的数据挖掘内容和环节;在教学手段上,数学软件的应用及编程能力的强化应成为数学建模必不可少的手段之一。
The five V features of big data have a new impact on the teaching of mathematical modeling, which is reflected in the aspects of curriculum objectives, curriculum contents, teaching methods and so on. In the face of information, automation, full sample and big data of sample data collection, the curriculum should focus more on the cultivation of relevant analysis ability of various related details under mass data; the data mining contents and links should be increased with the reflection of the characteristics of big data and information technology; and the application of mathematical software and the enhancement of programming ability should become one of the essential means of mathematical modeling.
作者
於遒
郭海兵
YU Qiu , GUO Haibing(Huaihai Institute of Technology, Lianyungang 222005, Jiangsu Provinc)
基金
2016第三期江苏省职业教育教学改革研究课题"数学工具促进中职校数学问题解决教学的实践研究"项目(课题号:ZYB10)阶段性成果之一
关键词
数学建模
大数据
全样本
数据挖掘
编程能力
mathematical modeling
big data
full sample
data mining
programming ability