大数据背景下本科数学专业人才培养模式探究

摘  要： 许多高校在本科数学专业人才培养中加入了大数据相关的课程，如何将数学与大数据有效地融合以培养高质量复合型人才是其面临的一个重要问题。文章探讨了在本科数学专业培养过程中融入大数据课程的必要性，从师资队伍和教学资源两方面研究了大数据课程建设过程中面临的主要问题及解决途径。

关键词： 大数据; 本科数学专业; 人才培养; 课程思政

中图分类号：G642.0          文献标识码：A     文章编号：1006-8228（2022）01-79-03

Research on the talent training model for mathematics majored

undergraduate in the context of big data

Zhang Jianbo， Fu Kaixin， Wang Zijian

（School of Mathematics and Statistics， Northeastern University at Qinhuangdao， Qinhuangdao， Hebei 066004， China）

Abstract： Many colleges and universities have added big data related courses to the undergraduate mathematics talents training. How to effectively integrate mathematics and big data to cultivate high-quality compound talents is an important problem they face. This paper discusses the necessity of integrating big data courses into the undergraduate mathematics talents training， and discusses the main problems and solutions on teacher team and teaching resources in the construction of big data course.

Key words： big date; undergraduate mathematics specialty; talent training; the ideological and political education in courses

0 引言

随着“互联网+”时代的到来，全球数据呈爆炸式增长，以大数据、人工智能为代表的信息技术发展迅速，已成为新一代产业革命的核心驱动力。（剩余4440字）