摘要
针对工程教育认证对培养学生解决"复杂工程问题"的能力要求,数据结构课程教学改革方案以大数据技术的基础算法作为"复杂问题",培养学生以数据结构的理论知识解决大数据相应技术的"复杂工程问题"。教学实践结果表明,相对传统的教学方法,以"解决大数据技术问题"为导向的数据结构教学改革实践在对应工程教育认证毕业要求的各项指标点方面更具有优越性。
Engineering education accreditation aims to enhance the quality of engineering students.For instance, it raises students’ ability to solve "complex engineering problems".In light of this requirement, this paper selects the basic algorithms of big data technology as "complex problems",where students will be trained to apply the theoretical knowledge of data structure to solve big data’s "complex engineering problems".The results of teaching practice show that data structure teaching reform oriented to "solve the problems of big data" has more advantages in the corresponding graduation requirements of engineering education certification compared with other traditional teaching methods.
作者
林丽
薛芳
LIN Li;XUE Fang(School of Computer Engineering,Jimei University,Xiamen 361021,China;Information Center,Jimei University,Xiamen 361021,China)
出处
《集美大学学报（教育科学版）》
2021年第6期72-80,共9页
Journal of Jimei University：Education Science Edition
基金
福建省教育厅项目“基于知识图谱的推荐技术研究”(ZAT200259)
集美大学本科教育教学改革项目“新工科下C语言课程实践模式探索”(JAT200259)
集美大学2021年课程思政教育教学改革项目“C语言程序设计”(KCS2059)。
关键词
工程教育认证
复杂工程问题
大数据技术
数据结构
毕业要求
engineering education accreditation
complex engineering problems
big data technology
data structure
graduation requirements
