基于计算机科学与技术专业的大数据课程群的建设

Construction of a Big Data Curriculum Group Based on Computer Science and Technology Specialty

传统的大数据课程群过于依赖建设者主观经验,在反复运营中确定最佳方案,耗费成本高、时间长、工作效果并不明显.为了解决此问题,基于计算机科学与技术专业建设了一种大数据课程群,首先设置了大数据课程群的运行框架,框架由数据采集、数据分析和结果分析三部分组成;介绍了大数据课程群的工作过程,第一步是分析基础课程,第二步是探讨专业课程,第三步是建立实践课程;最后设计了仿真实验,将所提方法与传统大数据课程群进行对比.由实验结果可知,基于计算机科学与技术专业建设的大数据课程群运行花费成本更低,取得的工作效果更好,具有广阔的市场发展空间.本研究对于大数据课程群的建设有一定的指导意义.

The traditional large data course group relies too much on the subjective experience of the builders,and determines the best scheme in the repeated operation.Its costs are high,and the time required is long,and the work effect is not obvious.In order to solve this problem,a large data course group is built on the basis of computer science and technology.First,the framework of the large data course group is set up.The framework is composed of three parts:data collection,data analysis and result analysis.The work process of the large data course group is introduced.The first step is to analyze the basic course.The second step is to explore professional courses.The third step is to set up practical courses.Finally,a simulation experiment is designed to compare the proposed method with the traditional big data curriculum group.The result of the experiment shows that the large data course group developed has lower cost,better work effect,and a broad market development space.This study has a certain guiding significance for the construction of big data curriculum groups.