大数据时代背景下信息与计算科学专业多学科交叉融合人才培养模式探索  

Exploration on the Cultivating Mode of Multi-interdisciplinary Integration Talents for Information and Computing Science Major under the Background of Big Data Age

作　　者：刘红毅[1] Liu Hongyi(School of Mathematics and Statistics,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学数学与统计学院,南京210094

出　　处：《办公自动化》2023年第24期56-58,共3页Office Informatization

摘　　要：大数据时代对信息与计算科学专业带来新的发展契机,但同时,大数据分析处理中的多学科交叉融合,使专业人才培养面临更多前所未有的挑战。为此,通过对大数据背景下,信息与计算科学专业人才培养中存在问题的分析,提出从稳固专业思想、构建课程体系、改革教学方法、搭建实践平台,以及提高师资队伍水平等五方面,对现有的专业人才培养模式进行完善和提升,这对于探索多学科交叉融合人才培养模式,培养高素质的应用复合型人才具有重要的借鉴作用。The development of big data brings unprecedented opportunities and challenges to the major of information and computing science,especially for the talents cultivating with multi-interdisciplinary integration.By analyzing the existing situations for information and computing science major under the background of big data age,several suggestions,including firming professional ideas,constructing curriculum system,reforming teaching methods,building practice platforms,and strengthening teaching staffs,are proposed to improve the existing talents cultivating mode.Furthermore,these discussions possess an important reference for improving the quality of talents cultivating mode of multi-interdisciplinary integration.

关 键 词：大数据 多学科交叉融合 信息与计算科学 人才培养 

分 类 号：G642.0[文化科学—高等教育学] C961[文化科学—教育学]