数据科学与大数据技术专业实验实践教学探析  

Experimental Practice Teaching in Data Science and Big Data Technology Major

作　　者：李方东[1] LI Fangdong(College of Science, Anhui Agricultural University, Hefei 230036, China)

机构地区：[1]安徽农业大学理学院,合肥230036

出　　处：《长春大学学报》2021年第2期88-91,共4页Journal of Changchun University

基　　金：安徽省教育厅重大项目(2018jyxm1403);安徽农业大学校级研究项目(2019aujyxm90);安徽农业大学本科大数据专业部分课程的教学研究与实践项目(2019aujyxm82)。

摘　　要：近些年各种信息数据呈爆炸式增长,在这种背景下,国家在2015年印发了关于大数据技术人才培养的相关文件,每年多个高校的大数据相关专业获批。数据量的增长对数据处理的要求越来越高,各行业涉及信息数据的范围越来越广,对大数据专业人才的需求越来越多。为了应对社会需求,如何科学地规划数据科学与大数据专业的本科教育,尤其在当前注重实践操作的背景下,如何制定适合的实验实践教学方案,更好满足社会需求。In recent years,all kinds of information data have been growing rapidly.In this context,the state issued relevant documents on big data technology personnel training in 2015,and majors related to big data in many universities were approved every year.With the growth of data amount,the demand for data processing is getting higher and higher,the range of information data involved in various industries is becoming larger and larger,and the demand for big data professionals is increasing.In order to meet the needs of the society,it is important to scientifically plan the undergraduate education of data science and big data specialty,especially in the current context of focusing on practical operation,to formulate suitable experimental practice teaching plan to better meet the social needs.

关 键 词：数据科学 大数据 实践教学 

分 类 号：G642[文化科学—高等教育学]