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

数学科学(21)这个项目开发了一个科学编程的原型课程，目标是数学科学(与工程和计算机科学不同)的专业，并全面介绍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，学生在这些课程中从事大型软件项目，通常是团队的一部分，这要求他们开发、记录和尊重功能界面，并编译和链接来自多个文件和库的最终产品。相比之下，数学、物理和类似学科的学生通常不会在编程和数值分析入门课程中学习这些技能，这些课程通常是课程的一部分。因此，与计算机科学专业的同龄人相比，数学科学专业的学生在完成学士学位后寻找工作，或者继续在涉及开发大型科学代码的领域继续研究生学习时，往往处于劣势。这门课程为数学科学专业的学生提供了为涉及大数据集或大量CPU时间的应用程序开发和制作软件原型的经验。

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.