Data Visualization: An Interdisciplinary Approach to Reducing the Cognitive Load when Extracting Meaning from Large Data Sets

本项目为工科高年级学生开设了一门跨学科的数据可视化课程和实验室。为了支持学生开发定制软件应用程序的能力，并促进发现大型数据集中存在的特征，本文改编并整合了来自多个来源的示例材料。该项目采用计算科学跨课程（CSAC）计划中的模块，使用可视化工具包（VTK）为工程和科学专业的学生创建集成的可视化技术，并修改研究生和工作专业人员的课程材料，以供本科生使用。工程和科学专业的学生不仅要学习理解基本的可视化技术，还要学习使用统一的软件开发平台来创建、修改和测试算法。学生们还为构建定制的可视化应用程序做出了贡献，这些应用程序将被包括高中教师和学生在内的其他人使用。该项目还包括公民参与，让学生在跨学科团队中工作，实现、扩展和维护与上下文相关的可视化应用程序存储库，以支持高中生基于探究的学习机会。

Information Science and Systems (33)This project implements an interdisciplinary data visualization course and laboratory for upper-division engineering and science students. To support students' ability to develop custom software applications and to facilitate discovery of features present in large data sets, exemplary materials are adapted and integrated from several sources. The project adapts modules from a Computational Science Across the Curriculum (CSAC) program to create integrated visualization techniques for engineering and science majors using the Visualization Toolkit (VTK), and course materials for graduate students and working professionals are modified for use by undergraduates. Engineering and science students not only learn to understand basic visualization techniques, but also to use a unified, software development platform to create, modify, and test algorithms. Students also contribute to building custom visualization applications that will be used by others including high school teachers and students. The project also includes civic engagement by having students work in interdisciplinary teams to implement, extend, and maintain a repository of contextually-relevant, visualization applications to support inquiry-based learning opportunities for high school students.