新工科驱动的大数据人才培养改革与实践——以山东理工大学软件工程(大数据方向)为例  

Reforms and Practices on Emerging Engineering Driven Talent Training of Big Data Technology: Taking Software Engineering (Big Data Directions) of Shandong University of Technology for Example

作　　者：孙福振[1] 田爱奎[1] 张龙波[1] 吴志勇[1] 王振 Sun Fuzhen;Tian Aikui;Zhang Longbo;Wu Zhiyong;Wang Zhen(School of Computer Science and Technology,Shandong University of Technology,Zibo Shandong 255049,China)

机构地区：[1]山东理工大学计算机科学与技术学院

出　　处：《北京联合大学学报》2020年第1期17-22,共6页Journal of Beijing Union University

基　　金：教育部产学合作协同育人项目大数据与数据挖掘技术(201702044009);新工科驱动的大数据人才培养模式研究与实践(201802070017);山东理工大学新工科试点专业建设项目“软件工程大数据方向”

摘　　要：新工科是高等教育改革的指导思想和驱动力,面向新经济发展需要、面向未来、面向山东省新旧动能转换,对传统软件工程专业升级更新增设了大数据方向。依托新工科建设试点项目支撑,以大数据新工科创新实验班的模式在大数据人才培养改革方面进行了探索和实践,为兄弟院校和相关专业的新工科建设提供有益借鉴。Emerging engineering is the guiding ideology and driving force for higher education reform.Facing the needs of new economic development and the transition from old to new growth drivers of our province,big data direction has been established to upgrade the traditional software engineering specialty.Relying on the support of the emerging engineering construction pilot project,the big data talent training mode was explored and practiced based on innovation experimental class.As an actual case,it can provide useful reference to the construction of emerging engineering for brother colleges and related majors.

关 键 词：新工科 新旧动能转换 大数据 人才培养 

分 类 号：G642.0[文化科学—高等教育学]