A Computation Laboratory for the Undergraduate Programs in Chemistry and Imaging Science

该项目为计算化学和数据可视化的新本科课程提供设备。计算化学是针对化学专业的学生，而数据可视化是为本科核心课程中的非理科生设计的。虽然内容不同，但两门课程的实验练习形式相同，需要的计算设备也相同。计算化学课程旨在使学生理解基础理论和计算方法之间的相互作用，在何种情况下计算是解决问题的首选工具，以及解决这些问题的准确性。数据可视化课程既包括视觉信息的定量分析方法，也包括图像采集的实验过程。由于数据生成的方法影响数据的解释和数据分析的方法，因此强调了图像采集过程不能脱离分析过程的观点。这些课程的目标是增强对科学问题的批判性思维。计算可以帮助实现这一目标。＊

This project is providing equipment for new undergraduate courses in Computational Chemistry and Data Visualization. Computational Chemistry is aimed at chemistry majors, and Data Visualization is designed for non-science-students in the undergraduate core curriculum. Although different in content, both courses have the same laboratory exercise format and require the same computational equipment. The Computational Chemistry course is designed to generate an understanding of the interplay between basic theory and computational methodology, the circumstances under which computation is the preferred tool for problemsolving, and the accuracy with which those problems can be solved. The Data Visualization course includes both the methodology of quantitative analysis of visual information and the experimental process of image acquisition. The idea that the process of image acquisition cannot be divorced from the analysis process is emphasized because the methods of data generation influence both the interpretation of the data and the methods of data analysis. The goal of these classes is to enhance critical thinking about scientific problems. Computation can assist in achieving that goal. *