数据可视技术课程群建设探索与改革
Exploration and Reform in Curriculum Group Development for Data Visualization Technology

随着全球数据总量激增，如何有效表达数据，高效传递信息，构建数据与人类之间的桥梁，进一步发展数据可视技术，通过融合新一代虚拟现实智能建模技术是形成动态立体的数据可视化新方法的关键，然而当前数据可视化与虚拟现实技术人才缺口巨大，尤其是顶尖专家人才更是极端稀缺。为完善数据可视化与虚拟现实教学的建设，提高学生对数据可视技术和虚拟现实技术的认识，本文提出了数据可视技术课程群建设探索与改革，通过构建以计算机图形学、数据可视化和虚拟现实为核心的课程群，以项目为导向的实验教学，建立“读学”结合的教学方式、研究多元全面考核体系，探索大数据与人工智能时代背景下数据可视化课程群建设以及实践教学的改革。
With the exponential growth of global data volume, effectively presenting data, efficiently conveying information, and bridging the gap between data and human interpretation have become critical challenges. Advancing data visualization technology through the integration of next-generation virtual reality (VR) and intelligent modeling technologies is key to developing dynamic and immersive data visualization methods. However, there remains a significant talent shortage in the field of data visualization and VR, particularly among top-tier experts. To address this issue and enhance the educational framework for data visualization and VR technologies, this paper proposes an exploration and reform initiative for constructing a curriculum group focused on data visualization. The proposed curriculum group integrates three core disciplines: computer graphics, data visualization, and virtual reality. It adopts a project-oriented experimental teaching approach, establishes a pedagogy that combines theoretical learning with practical application (“reading and practicing”), and develops a comprehensive multi-dimensional assessment system. Through these measures, this study aims to explore innovative strategies for curriculum group development and practical teaching reform in data visualization education, tailored to the demands of the big data and artificial intelligence era.