基于大数据实验类课程实践平台的研究与实现

Research and Implementation of Big Data-based Experimental Course Practice Platform

高校公共课实验室作为实验教学活动的基础场所,在实践操作过程中需要保留大量的数据信息。新时代背景下,为了更好地开展多样化的实验活动,需要科学地储备相关数据信息,必须结合大数据技术,优化实验平台的C/S架构,提出更加完善的总体设计方案。本文结合传统web实验系统中存在的问题进行分析,根据东南大学成贤学院的实际教学情况,提出了一套适应该校实验室平台的设计方案,并给出相关实验验证。系统采用C/S开发模式,结合Java技术和MySQL数据库管理技术进行整个系统的总体设计,省去了冗余功能,对平台流程进行重组,是一套更为实用的实践平台。

As the basic place of experimental teaching activities, public laboratories in colleges and universities need to retain a lot of data information in the process of practical operation. In the new era, in order to better carry out diversified experimental activities, it is necessary to scientifically store relevant data information, use big data technology to optimize the C/S architecture of the experimental platform, and propose a more complete overall design scheme. Based on the analysis of the problems existing in the traditional web experiment system, this paper puts forward a set of design scheme suitable for the laboratory platform of Chengxian College of Southeast University according to the actual teaching situation, and gives relevant experimental verification. The system adopts C/S development mode, and uses Java technology and MyS QL database management technology for overall design, which eliminates redundant functions, reorganizes the platform process and makes the laboratory platform more practical.