REU Site: Computation Across the Disciplines

学生参与者在马奎特大学（MU）研究经验的本科生（REU）网站，“跨学科的计算”，形成一个为期10周的暑期课程，旨在解决各种跨学科，开放的研究问题的研究队列。 每个学生都与MU的数学，统计和计算机科学（MSCS）部门的教师导师密切合作，设计与他们共同的兴趣和愿望相匹配的研究目标和里程碑。MU的REU网站专注于招募有才华的本科生，他们对未来的研究生学习不确定，在他们的家乡机构很少或根本没有研究机会。 在不同背景的不同问题上工作，参与者仍然可以亲眼目睹基础研究技术在广泛的计算领域中的共性。 MSCS REU参与者可以开发用于管理高性能计算基础设施的工具，模拟海洋和火山流体流动，构建新型嵌入式计算机系统，分析复杂生态食物网中物种损失的影响，发现生物学上重要的基因调控途径，或帮助预测通过商业分销网络的天然气流量，以减少每个人的水电费。 在整个过程中，参与者建立基本的研究技能，如解决问题，技术阅读和写作，工具支持，研究海报建设和口头演示。 MSCS教师导师的专业知识涵盖高性能计算，数学模型和模拟，数据同化，嵌入式，移动的和无处不在的系统，以及数学和计算机科学教育。 有关此正在进行的计划的更多信息，请参阅http://acm.mscs.mu.edu/reu/。

Student participants in the Marquette University (MU) Research Experience for Undergraduates (REU) site, "Computation Across the Disciplines," form a research cohort for a 10-week summer program designed to tackle a variety of interdisciplinary, open research questions. Each student works closely with a faculty mentor in MU's Mathematics, Statistics and Computer Science (MSCS) department to design research goals and milestones matched to their shared interests and aspirations.MU's REU site focuses on recruiting talented undergraduates who are uncertain about future graduate studies, with little or no research opportunity at their home institution. Working on different problems with diverse backgrounds, participants nevertheless can witness firsthand the commonalities of foundational research techniques across a wide spectrum of computational areas. MSCS REU participants may develop tools for managing high-performance computing infrastructure, model oceanographic and volcanic fluid flows, build novel embedded computer systems, analyze the impact of species loss in a complex ecological food web, discover biologically important pathways for gene regulation, or help predict natural gas flow through commercial distribution networks to reduce everyone's utility bills. Throughout, participants build essential research skills, such as problem solving, technical reading and writing, tool support, research poster construction, and oral presentation. MSCS faculty mentor expertise spans high performance computing, mathematical models and simulations, data assimilation, and embedded, mobile and ubiquitous systems, as well as math and computer science education. For more information on this ongoing program, see http://acm.mscs.mu.edu/reu/.