数据科学导论的课程设计及教学改革

doi:10.11896/jsjkx.200500088

计算机科学 ›› 2020, Vol. 47 ›› Issue (7): 1-7.doi: 10.11896/jsjkx.200500088

数据科学导论的课程设计及教学改革

朝乐门

数据工程与知识工程教育部重点实验室(中国人民大学) 北京100872
中国人民大学信息资源管理学院北京100872

收稿日期:2020-03-12 出版日期:2020-07-15 发布日期:2020-07-16
通讯作者: 朝乐门(chaolemen@ruc.edu.cn)
基金资助:
2020年度教育部人文社会科学研究规划基金(20YJA870003)

Course Design and Redesign for Introduction to Data Science

CHAO Le-men

Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China),Beijing 100872,China
School of Information Resource Management,Renmin University of China,Beijing 100872,China

Received:2020-03-12 Online:2020-07-15 Published:2020-07-16
About author:CHAO Le-men,born in 1979,Ph.D,associate professor,is a member of Technical Committee of Information System of China Computer Federation.His main research interests include data science,big data analytics,andknow-ledge processing on the semantic Web.
Supported by:
This work was supported by MOE(Ministry of Education in China) Project of Humanities and Social Sciences (20YJA870003)

摘要/Abstract

摘要： 数据科学与大数据技术、大数据管理与应用等新兴专业的建设,以及计算机科学与技术、统计学、信息资源管理等传统专业的改革,均需引入一门关键课程——数据科学导论。在调查分析哥伦比亚大学、纽约大学、哈佛大学和中国人民大学等高校开设的具有一定代表性的数据科学导论课程的基础上,作者结合自己开设的数据科学导论课程以及国家同名精品在线开放课程建设的经验,探讨了该课程的教学目的、教学内容、试验操作、考核方法、教材选择、特色与创新等课程设计问题。现阶段已开设的相关课程的教学改革重点在于培养学生的数据能力,重视数据产品的研发,加强课程建设模式的创新,加快与社会人才需求的接轨,凸显其导论类的课程特征,重视编写代码能力的培育和数据沟通能力的训练。

关键词: 大数据, 课程设计, 数据科学导论

Abstract: Introduction to Data Science is an intrinsic course for not only the development of emerging majors (Data Science and Big Data Technology,Big Data Management and Application,and so on),but also only the innovation of traditional ones (Compu-ter Science and Technology,Statistics,and Information Resource Management,and so on).Course design issues for this novel course,including its objectives,contents,experiments,assessment methods,reference books,personalized design are discussed based upon conducting an in-depth for typical courses offered by Columbia University,New York University,Harvard University and Renmin University of China as well as the author’s teaching experience.The redesign of exiting courses on introduction to Data Science should focus on improving the abilities of target students on full-stack data science,data product development,co-ding for Data Science,and communicating with non-professional users,as well as leveraging alternative course construction mo-dels,reflecting social needs,highlighting its roadmap roles for the curriculums.

Key words: Big data, Course design, Data Science

中图分类号:

TP391

朝乐门. 数据科学导论的课程设计及教学改革[J]. 计算机科学, 2020, 47(7): 1-7. https://doi.org/10.11896/jsjkx.200500088

CHAO Le-men. Course Design and Redesign for Introduction to Data Science[J]. Computer Science, 2020, 47(7): 1-7. https://doi.org/10.11896/jsjkx.200500088

参考文献

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数据科学导论的课程设计及教学改革

Course Design and Redesign for Introduction to Data Science

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