REU Site: Computation Across the Disciplines

REU 网站：跨学科计算

• 批准号: 1063041
• 负责人: Dennis Brylow
• 金额: $ 28.99万
• 依托单位: Marquette University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1063041&HistoricalAwards=false
• 关键词: REU; Site; Computation; Across; Disciplines

This REU site seeks to increase the number of students prepared to choose careers or graduate study in the computational sciences, bringing powerful computational, mathematical, and/or statistical techniques to bear on problems in science, engineering and education. It further seeks to give undergraduates with little opportunity to participate in research a chance to do so. Unique aspects of this REU site are: - Interdisciplinary faculty mentors within one blended department;- A successful model based on internal pilot programs held in the summers of 2009 and 2010;-The on-site availability of cutting-edge research laboratories, including the NSF-supported MUGrid Project and Nexos Project, which were used during the pilot programs;- Inclusion of pre-service math teachers in research opportunities.Throughout science and engineering fields, the availability of cheap computer processing power is driving increased interest in large-scale problems that were previously thought to be intractable through traditional methods. This can include developing new computational methodologies, software and/or systems, and new theoretical models. Predicting the movement of diseases, understanding the effects of large oil spills, forecasting consumer gas usage, and modeling the catastrophic effects of a volcanic eruption are just a few of the real problems that computers are being used to help solve. At the same time, ever smaller computing platforms have inserted computation into mobile, embedded, and ubiquitous realms of human experience that would have been unthinkable only a few years ago. Energy consumption of both massive computing clusters and battery-operated appliances is of great concern, and complex computer systems can now be found at the heart of everything from medical devices to the phones in most Americans' pockets. For both of these kinds of computational systems -- the big and the small -- there is a great need for practitioners with a deep understanding of computer science, modeling and statistical methods who can work across disciplines to build real, robust, and cost-effective solutions. This REU Site will bring 24 undergraduates to Marquette University over the next three years to be mentored by our interdisciplinary faculty of Mathematics, Statistics, and Computer Science in ways to approach the difficult computational problems that face our increasingly technological society.Our mentor research expertise lies in all of these areas, as well as in how people learn in these fields, and how we prepare the next generation of students to explore computational sciences and mathematics. Each of the computational activities concerns students becoming involved in real applications using concepts described in the classroom. They will learn how to apply these abstract concepts to particular areas. Each application has been chosen so that it is accessible to undergraduates, yet is current and useful. Many research projects are smaller versions of potential Ph.D. dissertation topics, and each student works on their own portion of primary research. Our target audience is undergraduates of all levels majoring in mathematics, statistics, computer science, or related areas. The project includes a recruiting plan targeting a population of students with little or no access to research opportunities both within and outside of the immediate Milwaukee area. Underrepresented student populations will be targeted and encouraged to apply. Our mentor pool is highly diverse in both the academic and demographic senses, and we look forward to attracting some of the most talented students in the region and the nation for a summer of computational sciences.

这个REU网站旨在增加准备选择计算科学职业或研究生学习的学生数量，将强大的计算、数学和/或统计技术应用到科学、工程和教育问题上。它进一步寻求给几乎没有机会参与研究的本科生提供参与研究的机会。这个REU网站的独特之处在于：--一个混合系内的跨学科教师导师；--基于2009年和2010年夏季举行的内部试点项目的成功模式；--现场提供尖端研究实验室，包括NSF支持的MUGrid项目和Nexos项目，这些实验室曾在试点项目中使用；--将职前数学教师纳入研究机会。在整个科学和工程领域，廉价的计算机处理能力正在推动人们对大型问题越来越感兴趣，这些问题以前被认为是通过传统方法难以解决的。这可以包括开发新的计算方法、软件和/或系统，以及新的理论模型。预测疾病的传播，了解大规模石油泄漏的影响，预测消费者的天然气使用量，以及对火山喷发的灾难性影响进行建模，这些只是计算机被用来帮助解决的几个真正的问题。与此同时，越来越小的计算平台已经将计算插入到移动的、嵌入式的和无处不在的人类体验领域，这在几年前是不可想象的。海量计算集群和电池供电电器的能源消耗都非常令人担忧，从医疗设备到大多数美国人口袋里的手机，复杂的计算机系统现在都可以找到核心。对于这两种类型的计算系统--无论是大的还是小的--都非常需要对计算机科学、建模和统计方法有深刻理解的实践者，他们能够跨学科工作，构建真正的、健壮的和具有成本效益的解决方案。这个REU网站将在未来三年内将24名本科生带到马奎特大学，由我们的数学、统计学和计算机科学跨学科教师指导，以解决我们日益技术化的社会所面临的困难的计算问题。我们的导师研究专长在于所有这些领域，以及人们如何在这些领域学习，以及我们如何为下一代学生探索计算科学和数学做准备。每一项计算活动都涉及到学生使用课堂上描述的概念参与实际应用。他们将学习如何将这些抽象概念应用于特定领域。每个应用程序的选择都是为了让本科生能够接触到它，但又是最新的和有用的。许多研究项目都是潜在博士论文主题的较小版本，每个学生都从事自己的主要研究部分。我们的目标受众是数学、统计学、计算机科学或相关领域的所有水平的本科生。该项目包括一项招生计划，目标是在密尔沃基附近地区内外很少或根本没有机会获得研究机会的学生。代表人数不足的学生群体将成为目标，并鼓励他们申请。我们的导师库在学术和人口统计学意义上都非常多样化，我们期待着吸引该地区和全国一些最有才华的学生来参加一个计算科学的暑期课程。