Development and Evaluation of a Curriculum in Scientific Computing for Mathematical Science Majors

数学科学专业科学计算课程的开发与评价

• 批准号: 0127320
• 负责人: Eric Kostelich
• 金额: $ 5万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-02-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0127320&HistoricalAwards=false
• 关键词: Development; Evaluation; Curriculum; Scientific; Computing

Mathematical Sciences (21)This project develops a prototype course in scientific programming that is aimed at majors in the mathematical sciences (as distinct from engineering and computer science) and provides a comprehensive introduction to software development tools for large codes in scientific computing. The undergraduate computer science curriculum typically includes one or more courses in which students work on a large software project, often as part of a team, that requires them to develop, document, and respect functional interfaces and to compile and link the final product from multiple files and libraries. In contrast, majors in mathematics, physics, and similar disciplines usually do not learn such skills in the introductory programming and numerical analysis courses that typically are part of the curriculum. As a result, majors in the mathematical sciences often are at a disadvantage, relative to their peers in computer science, when they seek employment after completing their baccalaureate degrees or when they continue on to graduate study in fields that involve the development of large scientific codes. The course provides mathematical science majors with experience in developing and prototyping software for applications that involve large data sets or large amounts of CPU time.

数学科学（21）本项目开发了一个针对数学科学（与工程和计算机科学不同）专业的科学编程原型课程，并全面介绍了科学计算中大型代码的软件开发工具。本科计算机科学课程通常包括一门或多门课程，学生通常作为团队的一部分参与大型软件项目，这要求他们开发，记录和尊重功能接口，并从多个文件和库编译和链接最终产品。相比之下，数学，物理和类似学科的专业通常不会在入门编程和数值分析课程中学习这些技能，这些课程通常是课程的一部分。因此，相对于计算机科学的同行，数学科学专业的学生在完成学士学位后找工作时，或者在他们继续在涉及大型科学代码开发的领域进行研究生学习时，往往处于不利地位。该课程为数学科学专业的学生提供了为涉及大型数据集或大量CPU时间的应用程序开发和原型软件的经验。