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

化学与成像科学本科生计算实验室

• 批准号: 9751224
• 负责人: Stuart Rice
• 金额: $ 9.9万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9751224&HistoricalAwards=false
• 关键词: Computation; Laboratory; Undergraduate; Programs; Chemistry

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. *

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，数据可视化是专为非理科学生在本科核心课程。 虽然内容不同，但两门课程都有相同的实验练习形式，并需要相同的计算设备。 计算化学课程旨在了解基础理论和计算方法之间的相互作用，计算是解决问题的首选工具的情况，以及这些问题可以解决的准确性。数据可视化课程包括视觉信息的定量分析方法和图像采集的实验过程。 图像采集过程不能脱离分析过程的想法被强调，因为数据生成的方法影响数据的解释和数据分析的方法。 这些课程的目标是加强对科学问题的批判性思维。 计算可以帮助实现这一目标。 *