大数据环境下“数据可视化技术”课程的实施与考核办法探索与实践

Exploration and Practice of the Implementation and Assessment Methods of the “Data Visualization Technology” Course in a Big Data Environment

大数据产业的高速发展为高校培养大数据创新应用型、技术技能型人才带来了挑战,因此高校需要适应大数据时代的变化,开设并优化大数据管理与应用课程,以提升学生的专业能力。该文针对“数据可视化技术”课程,首先从理论感知、软件教学和案例模拟三个层面探索了课程的实施方案,理论结合实践,提高学生的专业技术;然后设计了该课程的考核方案,综合、全面地评估学生对理论知识的掌握和实践操作水平,以提升教学效果,优化大数据背景下理论与实践相结合课程的教学模式。

The rapid development of the big data industry has brought challenges for colleges and universities to cultivate big data innovation and application-oriented and technical skills talents.Therefore,colleges and universities need to adapt to the changes in the era of big data,open and optimize big data management and application courses to improve students’professional competence.Aiming at the data visualization technology course,this article first explores the implementation plan of the course from the three levels of theoretical perception,software teaching and case simulation,combining theory with practice to improve students’professional skills;then designing the assessment plan of the course,comprehensively and comprehensively evaluate students’mastery of theoretical knowledge and practical operation level in order to improve the teaching effect and optimize the teaching mode of combining theory and practice under the background of big data.