摘要
近年来,随着大数据技术的蓬勃发展,企业、学校和社会都对大数据人才培养保持高度关注。为了更好地开展大数据课程的教学工作,本文结合大数据的真实案例,分析出大数据具有多维度和自洽性的特点;根据在教学过程中遇到的问题,提出引导学生学习机器智商、使用案例教学,采取多元融合教学模式的解决方案;对大数据课程的开展进行了一些教学尝试和探索,为大数据课程的建设提供了一定的思路。
With the rapid development of big data technology in recent years, companies, universities and the whole society begin to pay close attention to education of talents in the field of Big Data. In order to carry out the course of Big Data well, this paper analyzes some real cases and finds that Big Data has its own characteristics of multi-dimension and self-consistency. According to the problems encountered in the teaching process, three suggestions are provided: guiding students to learn the machine intelligence quo- tient, employing the case teaching, and adopting the teaching mode of multi-integration. This paper dis- cusses the attempts and explorations of the Big Data course, which provides some ideas for the construc- tion of the Big Data course.
作者
辜姣
GU Jiao(School of Science, Jiangnan University, Wuxi 214122, China)
出处
《无锡职业技术学院学报》
2017年第3期23-25,共3页
Journal of Wuxi Institute of Technology
基金
中央高校基本科研基金项目"复杂网络的归一化拉普拉斯谱性质研究及其应用"(JUSRP115A16)
江南大学教改项目"大数据背景下信息与计算科学专业创新人才培养模式研究与实践"(JG2015063)
关键词
大数据
案例教学
机器智商
多元融合
Big Data
case teaching
machine intelligence quotient (MIQ)
multi-integration