Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (12): 114-118.doi: 10.11896/jsjkx.200900028

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Open-source Course and Open-sourcing Intro to Data Science

CHAO Le-men   

  1. 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:2020-09-03 Revised:2020-11-05 Online:2020-12-15 Published:2020-12-17
  • About author:CHAO Le-men,born in 1979Ph.Dassociate professoris a member of China Computer Federation.His main research interests include data sciencebig data analyticsand knowledge proces-sing on semantic Web.
  • Supported by:
    National Natural Science Foundation of China(72074214).

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Abstract: A novel initiative called Open Source Courses is proposed to provide an alternative solution for improving the poor efficiency of teachers' lesson preparation activitiesexpending the limited incentive coverage of education management departmentsand satisfying the interests of teachers in MOOC courses.Furthermorethe definitioncharacteristics of open source courses are describedand the processprinciplesand key technologies of open source course construction are proposed based upon the lessons from the construction of the first Open Source Course named Introduction to Data Science.The Open Source Course action initiative is a novel teaching reform idea after MOOCwhich has a high reference value for further promoting teaching reformespecially to reuse teaching resourcesimprove the quality of lesson preparationshare teaching experienceand make up for the deficiency of MOOC courses.

Key words: Course construction, Data Science, Open Source Course, Teaching reform

CLC Number: 

  • TP391
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[1] CHAO Le-men, WANG Rui. Data Science Platform:Features,Technologies and Trends [J]. Computer Science, 2021, 48(8): 1-12.
[2] CHAO Le-men. Course Design and Redesign for Introduction to Data Science [J]. Computer Science, 2020, 47(7): 1-7.
[3] NING Hui-cong. Study on Interdisciplinary Model of Construction of Big Data Discipline in China [J]. Computer Science, 2019, 46(11A): 159-162.
[4] LI Zhi-guo, ZHONG Jiang. Application of Data Science in Management Science Study:State-of-the-art in Domestic [J]. Computer Science, 2018, 45(9): 38-45.
[5] CHAO Le-men, XING Chun-xiao and WANG Yu-qing. Unique Curriculums for Data Science and Big Data Technology [J]. Computer Science, 2018, 45(3): 1-8.
[6] CHAO Le-men, XING Chun-xiao and ZHANG Yong. Data Science Studies:State-of-the-art and Trends [J]. Computer Science, 2018, 45(1): 1-13.
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