EXTREEMS-QED: Research and training in computational and data-enabled science and engineering for undergraduates in the mathematical sciences at NJIT

EXTREEMS-QED：为 NJIT 数学科学本科生提供计算和数据支持的科学与工程方面的研究和培训

• 批准号: 1331010
• 负责人: Michael Siegel
• 金额: $ 87.49万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331010&HistoricalAwards=false
• 关键词: EXTREEMS; QED; Research; training; computational

The NJIT EXTREEMS program builds upon the established record of the Department of Mathematical Sciences at the New Jersey Institute of Technology in interdisciplinary research involving the computational analysis of data and the modeling and simulation of complex systems. The program will immerse undergraduates in courses and group projects relating to mathematical computation and data analysis, and promote faculty professional development through participation in workshops on computational science education. Students will be exposed to computational issues in multidisciplinary situations, including in industrial settings. The program includes the development of new courses and enhancements of existing ones that will permanently enrich the Computational and Data Enabled Science and Engineering (CDS&E) curriculum at NJIT. Some of the enhancements are in courses that are taken by students in a wide variety of majors, and the changes will impact their careers in science and technology. The group research projects will use and develop fast and accurate algorithms to study problems in medicine, fluid dynamics, acoustics, climate modelling, and risk assessment. Many of the projects will lead to improvements in computational techniques for data analysis such as dimension reduction, data assimilation, and Monte Carlo methods. Valuable information will be gained and disseminated on effective ways to educate students in these computational techniques.Computational tools are increasingly important in a broad number of areas in science and technology. For example, computer algorithms are used to predict the spread of an oil spill, investigate the properties of DNA, process and sharpen radar images, and assess the risks of investment portfolios and nuclear power plants. In many fields, extremely large data sets are being collected or generated, posing significant challenges to modeling, computer simulation, and data analysis. This five year EXTREEMS program will significantly enhance the exposure of undergraduate mathematical science students at NJIT to topics in CDS&E. This exposure will come from the broad infusion of CDS&E topics into the curriculum and a rigorous interdisciplinary research program that will introduce students to computational tools for the analysis of large data sets and modeling and simulation of complex systems. An important component of our program is the group nature of the proposed activities, including team projects supervised by multiple faculty, and participation of industrial partners. With expertise in scientific computation and data analysis and their honed leadership and communication skills, EXTREEMS students will emerge from this program with unique interdisciplinary skills and are expected to become future leaders in the mathematical sciences both in industry and in the nation's graduate programs. This project is jointly supported by NSF's Division of Mathematical Sciences and Division of Advanced Cyberinfrastructure.

NJIT EXTREEMS计划建立在新泽西理工学院数学科学系在跨学科研究中的既定记录之上，涉及数据的计算分析以及复杂系统的建模和仿真。该计划将使本科生沉浸在与数学计算和数据分析有关的课程和小组项目中，并通过参加计算科学教育研讨会促进教师的专业发展。 学生将接触到多学科情况下的计算问题，包括工业环境。该计划包括新课程的开发和现有课程的增强，这将永久丰富NJIT的计算和数据支持科学与工程（CDS E）课程。其中一些改进是在各种专业的学生所参加的课程中，这些变化将影响他们在科学和技术方面的职业生涯。 该小组的研究项目将使用和开发快速准确的算法来研究医学，流体动力学，声学，气候建模和风险评估中的问题。许多项目将导致数据分析计算技术的改进，如降维，数据同化和蒙特卡罗方法。将获得和传播关于教育学生掌握这些计算技术的有效方法的宝贵信息。计算工具在科学和技术的许多领域中日益重要。 例如，计算机算法被用于预测石油泄漏的蔓延，调查DNA的特性，处理和锐化雷达图像，以及评估投资组合和核电站的风险。 在许多领域，正在收集或生成非常大的数据集，这对建模，计算机模拟和数据分析构成了重大挑战。 这个为期五年的EXTREEMS计划将大大提高NJIT的本科数学科学学生对CDS E主题的接触。这种接触将来自CDS E主题到课程和严格的跨学科研究计划的广泛注入，该计划将向学生介绍用于分析大型数据集和复杂系统建模和仿真的计算工具。我们计划的一个重要组成部分是拟议活动的团体性质，包括由多个教师监督的团队项目，以及工业合作伙伴的参与。 凭借科学计算和数据分析方面的专业知识以及他们磨练的领导力和沟通技巧，EXTREEMS学生将从这个项目中脱颖而出，拥有独特的跨学科技能，并有望成为未来工业和国家研究生课程中数学科学的领导者。 该项目由NSF数学科学部和高级网络基础设施部联合支持。