|本期目录/Table of Contents|

[1]林丽,薛芳.工程教育认证背景下数据结构课程教学实践[J].集美大学学报(教育科学版),2021,22(06):72-80.
　LIN Li,XUE Fang.The Practice of Data Structure Teachingagainst the Background of Engineering Education Accreditation[J].Journal of Jimei University(Education Science Edition),2021,22(06):72-80.
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工程教育认证背景下数据结构课程教学实践(PDF)
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《集美大学学报（教育科学版）》[ISSN:1671-6493/CN:35-1238/U]

卷:
第22卷
期数:
2021年06期
页码:
72-80
栏目:
教育史研究
出版日期:
2021-11-28

文章信息/Info

Title:
The Practice of Data Structure Teachingagainst the Background of Engineering Education Accreditation
作者:
林丽1; 薛芳2
（1.集美大学计算机工程学院；2.集美大学网络中心，福建厦门361021）
Author(s):
LIN Li1; XUE Fang2
(1.School of Computer Engineering，Jimei University，Xiamen 361021，China；2.Information Center，Jimei University，Xiamen 361021，China)
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
Keywords:
engineering education accreditation; complex engineering problems; big data technology; data structure; graduation requirements
分类号:
-
DOI:
-
文献标志码:
A
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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
更新日期/Last Update: 2022-02-23