Interdisciplinary Scientific Computation at Ohio Wesleyan University

该奖项支持继续在俄亥俄州卫斯理大学建立REU站点，重点关注跨学科科学计算。 这个网站有一个可再生能源技术的组成部分集成到网站。 每个本科生参与者将在俄亥俄州卫斯理大学教师的指导下进行为期十周的研究项目，涉及以下学科之一：天文学，计算机科学，数学/统计学和物理学。 高中科学教师将在六周的时间里从事类似的项目。 研究项目将集中在科学计算的一个或多个方面，例如：数值（用“传统”编程语言编码），符号（使用计算机代数程序，如Mathematica®）和数据可视化。该网站的一个重要目标是使参与者意识到计算技术跨越学科界限的能力，即有效解决许多不同科学研究领域的问题。 每周的会议，其中个别研究小组将提供进度报告，所有参与者将能够讨论项目，将培养参与者之间的社区意识，并指出计算技术的优势，以解决不同学科的问题。一个由该大学拥有的并行计算集群将可供参与者在其项目中使用。一系列每周，半小时，教师主导的研讨会将向与会者介绍广泛使用的计算工具，如：符号计算与Mathematica®，数据拟合的方法，数值技术求解微分方程，等等。 该奖项由物理学部，数学科学部和网络基础设施办公室共同资助。

This award supports the continuation of the REU site at Ohio Wesleyan University focusing on interdisciplinary scientific computation. This site has an RET component integrated into the site. Each undergraduate participant will work on a ten-week research project under the guidance of an Ohio Wesleyan University faculty member in one of the following disciplines: astronomy, computer science, mathematics/statistics, and physics. High school science teachers will work on similar projects for a six week period. The research projects will focus on one or more aspects of scientific computation, such as: numerical (coding in a "traditional" programming language), symbolic (using a computer algebra program such as Mathematica®), and data visualization. An important goal of the site is to make participants aware of the ability of computational techniques to cross disciplinary boundaries, i.e. to be effective at solving problems of interest in many different fields of scientific inquiry. Weekly meetings, in which individual research groups will give progress reports and all participants will be able to discuss the projects, will foster a sense of community among the participants and point out the strengths of computational techniques to tackle problems in varying disciplines. A parallel computing cluster, owned by the university, will be available for participants to use on their projects. A series of weekly, half-hour, faculty-led seminars will introduce participants to widely used computational tools, such as: symbolic computing with Mathematica®, methods of data fitting, numerical techniques for solving differential equations, and more. This award is co-funded by the Division of Physics, the Division of Mathematical Sciences, and the Office of Cyberinfrastructure.