大数据 ›› 2018, Vol. 4 ›› Issue (6): 29-37.doi: 10.11959/j.issn.2096-0271.2018058

所属专题： 大数据

• 专题：新工科背景下的大数据人才培养及课程体系设计 • 上一篇    下一篇

大数据技术原理与应用课程建设经验分享

林子雨   

  1. 厦门大学信息科学与技术学院,福建 厦门 361005
  • 出版日期:2018-11-15 发布日期:2019-01-11

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

Ziyu LIN   

  1. School of Information Science and Engineering,Xiamen University,Xiamen 361005,China
  • Online:2018-11-15 Published:2019-01-11

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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。

关键词: 大数据, 课程体系, MOOC, 公共服务平台

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.

Key words: big data, course system, MOOC, public service platform

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