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计划基于新泽西理工学院数学科学系的既定记录，涉及数据计算分析以及复杂系统的建模和模拟。该计划将把本科生浸入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来促进教师专业发展。 学生将在包括工业环境在内的多学科情况下遇到计算问题。该计划包括开发新课程和现有课程的增强，这些课程将永久丰富NJIT的计算和数据实现的科学和工程（CDS＆E）课程。一些增强功能是由学生在各种专业的课程中开设的课程，这些变化将影响他们在科学和技术方面的职业。 小组研究项目将使用并开发快速，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的问题。许多项目将改善用于数据分析的计算技术，例如缩小维度，数据同化和蒙特卡洛方法。有价值的信息将获得并传播以对这些计算技术进行教育的有效方法。Putipational工具在科学和技术领域的广泛领域中越来越重要。 例如，计算机算法用于预测溢油的扩散，研究DNA的特性，过程和锐化雷达图像，并评估投资组合和核电站的风险。 在许多领域，正在收集或生成极大的数据集，对建模，计算机仿真和数据分析提出了重大挑战。 这项五年的Extreems计划将显着增强NJIT的本科数学科学专业学生的接触。这种接触将来自CDS＆E主题对课程的广泛注入和严格的跨学科研究计划，该计划将向学生介绍计算工具，以分析大型数据集以及复杂系统的建模和模拟。我们计划的一个重要组成部分是拟议活动的群体性质，包括由多个教师监督的团队项目以及工业伙伴的参与。 凭借在科学计算和数据分析方面的专业知识及其磨练的领导和沟通技巧，Extrems学生将以独特的跨学科技能从该计划中脱颖而出，并有望成为行业和全国研究生课程中数学科学的未来领导者。 该项目由NSF的数学科学和高级网络基础设施分工共同支持。