REU Site: Interdisciplinary Research Experience in Computational Sciences

REU 网站：计算科学的跨学科研究经验

• 批准号: 1560410
• 负责人: Juana Moreno
• 金额: $ 34.66万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560410&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; Research; Experience

Non-technical:This award funds a Research Experiences for Undergraduates (REU) Site at the Center for Computation and Technology (CCT) at Louisiana State University (LSU). The recent, rapid development of high performance computer platforms, together with a similar emergence of highly accurate algorithms, allow the treatment and modeling of complex systems which were intractable just a few years ago. However, Computational Science (CSci) will only fulfill its full potential if early exposure of undergraduate students to CSci accompany the advances in hardware. Currently, the majority of students learn little CSci in the classroom and are not prepared for CSci research. This REU site targets these issues and prepares the next generation of students for CSci research. A multi-disciplinary team of Computational Science faculty from several LSU departments will collaborate to provide participating students with research-learning experiences in the computational aspects of multiple scientific disciplines, including Chemistry, Computer Science, Digital Media, Mathematics, Physics, Astronomy, Biological Sciences, and Civil, Environmental, Petroleum, Electrical, and Computer Engineering. This project serves the national interest and NSF's mission by promoting early engagement of undergraduate students in research, exposing students to high-performance computing and other scientific cyberinfrastructure resources, fostering active learning through hands-on experiences in a collaborative research environment, and inspiring students to pursue advanced STEM education and STEM research careers.Technical:The goals of this project are to engage students in a set of carefully and extensively planned research projects that pose a wide range of scientific and technological challenges. With research groups working on problems such as gravitational waves, complex emergent phenomena in material science, and computational arts, the participants will be working on cutting edge research in CSci. An extensive training component will remedy the weak preparation of most students in CSci, providing knowledge on how to leverage state-of-the-art cyberinfrastructure tools. The program offers a variety of activities designed to improve students' computing, reasoning, problem-solving, research, and communication skills. The 30 undergraduate students participating in this REU, as well as the 6 high school students supported by IBM, will be engaged with authentic computational science projects, learn how to use state-of-the-art cyberinfrastructure tools, experience activities that characterize research careers, and work in interdisciplinary research teams. This participating faculty have found that the combination of individual training with student immersion in a multidisciplinary research group has been successful in engaging a diverse body of students to explore CSci. Faculty mentors provide activities that help students appreciate the nature of multidisciplinary research and the value of working as a team. These skills have the potential to be transformative in both the students' education as well as their future careers.

非技术性：该奖项资助路易斯安那州立大学(LSU)计算与技术中心(CCT)的本科生研究经验(REU)网站。最近，高性能计算机平台的快速发展，加上类似的高精度算法的出现，使得几年前还难以处理的复杂系统的处理和建模成为可能。然而，计算科学(CSCI)只有在本科生早期接触CSCI的同时，才能充分发挥其潜力。目前，大多数学生在课堂上学习的CSCI很少，没有为CSCI的研究做好准备。这个REU网站针对这些问题，为CSCI研究的下一代学生做好准备。一个由来自路易斯安那州立大学多个系的计算科学系组成的多学科团队将合作，为参与的学生提供多个科学学科的计算方面的研究性学习经验，包括化学、计算机科学、数字媒体、数学、物理、天文学、生物科学、土木工程、环境、石油、电气和计算机工程。该项目服务于国家利益和国家科学基金会的使命，通过促进本科生尽早参与研究，让学生接触到高性能计算和其他科学网络基础设施资源，通过在协作研究环境中的动手体验促进主动学习，并激励学生追求高级STEM教育和STEM研究事业。技术：该项目的目标是让学生参与一系列精心策划的研究项目，这些项目构成了广泛的科学和技术挑战。随着研究小组致力于引力波、材料科学中复杂的紧急现象和计算艺术等问题，参与者将致力于CSCI的尖端研究。广泛的培训部分将弥补CSCI大多数学生准备不足的问题，提供有关如何利用最先进的网络基础设施工具的知识。该计划提供各种活动，旨在提高学生的计算、推理、解决问题、研究和沟通技能。参加这次REU的30名本科生以及6名由IBM支持的高中生将参与真正的计算科学项目，学习如何使用最先进的网络基础设施工具，体验具有研究职业特征的活动，并在跨学科研究团队中工作。这些参与的教职员工发现，将个人培训与学生沉浸在多学科研究小组中相结合，成功地吸引了不同的学生团体来探索CSCI。教师导师提供活动，帮助学生认识到多学科研究的性质和团队合作的价值。这些技能有可能对学生的教育和未来的职业生涯产生革命性的影响。