REU Site: Simulation and Analysis at South Dakota State University
REU 站点:南达科他州立大学的模拟与分析
基本信息
- 批准号:1156906
- 负责人:
- 金额:$ 31.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-03-01 至 2016-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The South Dakota State University Simulation and Analysis REU program will focus on simulation and analysis techniques in the context of mathematics and statistics, electrical engineering, and mechanical engineering. Participating undergraduate students will gain a broad perspective of the theory and application of simulations, including the generation and validation of realistic physical models, the estimation of model parameters, and the prediction of salient physical phenomena. The student scholars will engage in research in computational fluid dynamics, photovoltaics, statistics, and computational sciences as they learn how mathematical models represent physical phenomena, how simulation methods are selected and implemented, and how simulation results are analyzed, interpreted, and utilized to gain insight into theoretical and applied problems. Research projects will involve 1) simulation tools in the context of engineering design and analysis; 2) state-of-the-art research tools in electrical engineering, mechanical engineering, nanoscience, and computation; 3) statistical analysis based on real datasets and simulations; and 4) advanced numerical methods including parallel algorithms. This program will foster critical capabilities in young researchers through its emphasis on interdisciplinary research, publication, and scholarly presentations, as well as the responsible conduct of research. Skilled graduate assistant mentors will assist REU student scholars while advancing their own research agendas. In addition to conducting state-of-the-art research on current concerns, each undergraduate student will participate in a series of four integrated research ethics seminars and have the opportunity to attend at least one conference. The ability to construct, simulate, and analyze physical models is a critical aspect of modern scientific research and a skill of significant value in the 21st century workforce. Despite this need, many recent graduates do not possess the skills necessary to create and implement models appropriately. Competencies that students find particularly challenging include the generation and validation of realistic physical models, the estimation of model parameters, and the prediction of salient physical phenomena. This REU program will cultivate such competencies by engaging undergraduate students in hands-on research under the guidance of graduate student mentors and faculty advisors. The objectives of the program are to enhance undergraduates? abilities to conduct innovative and ethical research and to learn and think independently, thereby improving their preparation for professional careers. This program will further contribute to workforce development by not only encouraging undergraduate students to pursue graduate degrees in STEM fields, but also by increasing participation from under-represented populations. The program director will recruit a diverse pool of talented undergraduate participants from minority groups, veterans returning from active duty, and students enrolled in smaller regional colleges with limited research opportunities. The training, mentoring, research experience, and professional development provided by this REU program will attract and retain talented students to the STEM fields and will contribute to the development of an internationally competitive science and engineering workforce.This award is jointly sponsored by NSF's Division of Mathematical Sciences and Experimental Program to Stimulate Competitive Research (EPSCoR).
该南达科他州州立大学模拟和分析REU计划将侧重于模拟和分析技术的数学和统计,电气工程和机械工程的背景下。参与的本科生将获得模拟理论和应用的广泛视角,包括现实物理模型的生成和验证,模型参数的估计以及突出物理现象的预测。学生学者将从事计算流体动力学,光子学,统计学和计算科学的研究,因为他们学习数学模型如何表示物理现象,如何选择和实施模拟方法,以及如何分析,解释和利用模拟结果来深入了解理论和应用问题。研究项目将涉及1)工程设计和分析背景下的仿真工具; 2)电气工程,机械工程,纳米科学和计算的最先进的研究工具; 3)基于真实的数据集和模拟的统计分析;和4)先进的数值方法,包括并行算法。该计划将通过强调跨学科研究,出版和学术演讲以及负责任的研究行为来培养年轻研究人员的关键能力。熟练的研究生助理导师将协助REU学生学者,同时推进自己的研究议程。除了对当前关注的问题进行最先进的研究外,每个本科生还将参加一系列四个综合研究伦理研讨会,并有机会参加至少一次会议。构建、模拟和分析物理模型的能力是现代科学研究的一个重要方面,也是21世纪世纪劳动力中具有重要价值的技能。尽管有这种需要,许多应届毕业生不具备必要的技能,以创建和实施适当的模型。学生认为特别具有挑战性的竞争力包括现实物理模型的生成和验证,模型参数的估计以及突出物理现象的预测。这个REU计划将培养这样的能力,从事本科生在研究生导师和教师顾问的指导下动手研究。 该计划的目标是提高本科生?开展创新和道德研究的能力,以及独立学习和思考的能力,从而提高他们对职业生涯的准备。 该计划将进一步促进劳动力发展,不仅鼓励本科生攻读STEM领域的研究生学位,而且增加代表性不足的人口的参与。该项目主任将招募来自少数民族群体,从现役返回的退伍军人,以及在研究机会有限的较小地区学院就读的学生的有才华的本科生参与者的多元化池。该REU计划提供的培训、指导、研究经验和专业发展将吸引并留住有才华的学生进入STEM领域,并将为培养具有国际竞争力的科学和工程人才做出贡献。该奖项由NSF数学科学部和刺激竞争性研究实验计划(EPSCoR)联合赞助。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jung-Han Kimn其他文献
A convergence theory for an overlapping Schwarz algorithm using discontinuous iterates
- DOI:
10.1007/s00211-004-0572-3 - 发表时间:
2005-03 - 期刊:
- 影响因子:2.1
- 作者:
Jung-Han Kimn - 通讯作者:
Jung-Han Kimn
Jung-Han Kimn的其他文献
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