摘要
随着社会经济的不断进步,“互联网+”进一步发展,信息量以EB、ZB为单位持续增长,传统处理方式难以满足信息处理的需求,大数据时代应运而生。笔者提出了大数据时代计算机科学与技术专业建设优化的路径,即搭建大数据平台、加强专业建设数据挖掘、更新人才培养方案、加强师资队伍建设、更新教育教学方法以及加强校企合作等。
With the continuous progress of social economy and the further development of "Internet +", the amount of information continues to grow in the form of EB and ZB. Traditional processing methods can hardly meet the needs of information processing, and the era of big data arises at the historic moment. The author puts forward the path of optimizing the construction of computer science and Technology Specialty in the era of big data, that is, building a big data platform, strengthening the data mining of specialty construction, updating the personnel training program, strengthening the construction of teachers, updating the teaching methods and strengthening the cooperation between schools and enterprises.
作者
姚迎乐
Yao Yingle(Institute of Information Engineering,Zhengzhou University of Industrial Technology,Zhengzhou Henan 451150,China)
出处
《信息与电脑》
2019年第9期246-247,共2页
Information & Computer
基金
2016年度河南省科技攻关计划项目“基于道路场景的车辆阴影检测和去除算法研究”(项目编号:162102210119)
关键词
大数据
专业建设和优化
计算机科学与技术
CS2013标准
big data
professional construction and optimization
computer science and technology
CS2013 standard