Course construction experience sharing of the principles and applications of big data technology

Ziyu LIN

doi:10.11959/j.issn.2096-0271.2018058

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Course construction experience sharing of the principles and applications of big data technology

TOPIC：BIG DATA TALENT CULTIVATION AND CURRICULUM DESIGN UNDER THE BACKGROUND OF EMERGING ENGINEERING EDUCATION | 更新时间：2024-06-03

- Course construction experience sharing of the principles and applications of big data technology
- Big data research Vol. 4, Issue 6, Pages: 2018058(2018)
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- DOI：10.11959/j.issn.2096-0271.2018058
  CLC： G423
- Online First：2018-11，
  
  Published：15 November 2018
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Ziyu LIN. Course construction experience sharing of the principles and applications of big data technology[J]. Big data research, 2018, 4(6): 2018058.
DOI：

Ziyu LIN. Course construction experience sharing of the principles and applications of big data technology[J]. Big data research, 2018, 4(6): 2018058. DOI： 10.11959/j.issn.2096-0271.2018058.

摘要

大数据专业人才的培养是世界各国新一轮科技较量的基础，高等院校承担着大数据人才培养的重任。大数据专业作为典型的“新工科”专业，在课程体系建设方面还处于摸索阶段。首先剖析了大数据课程建设的难点，然后介绍了厦门大学建设的大数据课程体系，包括入门级课程、进阶级课程和实训课程，最后分享了大数据技术原理与应用课程建设的经验与方法，包括课程定位、培养目标、预备知识、大数据与云计算课程之间的知识切割、课程内容与学时安排、课程教材、实验环境搭建、配套资源建设、在线服务平台、线下培训与交流等。

Abstract

The training of big data professionals is the foundation of a new round of scientific and technological contest in the world.Colleges and universities assume the responsibility of training big data talents.As a typical “new engineering” major

the major of big data is still in the exploratory stage in the construction of curriculum system.Firstly

the difficulties in the construction of big data courses were analyzed

and then the big data course system built by Xiamen University was introduced

including introductory courses

advanced courses and training courses.Also the experience and methods of the course construction of the principles and applications of big data technology were introduced

which includes course orientation

training objectives

preparatory knowledge

knowledge partitioning between big data and cloud computing courses

course content and arrangement

teaching material

experimental environment construction

matching resources construction

online service platform

offline training and communication

and so on.

关键词

Keywords

references

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