Experimental teaching design and practice on big data course

Xiaotao Huang, Niannian Qin, Xiaofang Zhang, Fen Wang
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引用次数: 1

Abstract

With the rapid development of big data technology and the rapid growth of big data industry market, big data talent demand is also a substantial increase in China. In order to cultivate more talented people satisfying the needs of the community, we have designed the big data course for undergraduates. The big data course stresses not only on many theories but also lots of practice. The project of “big data talent development trend analysis” is designed in the experimental teaching on big data. By doing this project, students can master all the technologies of big data processing lifecycle, including data collection, data preprocessing, data mining and data visualization. We evaluate students who master big data core technology with a multi-evaluation method and design the experiment evaluation system on big data. Through our two years' practice, the results show that all these designs have achieved the good effect and improved the teaching quality.
大数据课程实验教学设计与实践
随着大数据技术的快速发展和大数据产业市场的快速增长,中国对大数据人才的需求也在大幅增长。为了培养更多满足社会需求的人才,我们为本科生设计了大数据课程。大数据课程不仅强调很多理论,也强调很多实践。在大数据实验教学中设计了“大数据人才发展趋势分析”项目。通过这个项目,学生可以掌握大数据处理生命周期的所有技术,包括数据采集、数据预处理、数据挖掘和数据可视化。采用多元评价方法对掌握大数据核心技术的学生进行评价,设计大数据实验评价体系。经过我们两年的实践,结果表明这些设计都取得了良好的效果,提高了教学质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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