REU Site: iCER ACRES: iCER Advanced Computational Research Experience for Students

这个本科生研究经验（REU）项目旨在让本科生参与学习经验，提高学生在一系列科学领域进行计算和数据科学研究的兴趣和能力。在高性能计算资源上有效解决问题的能力是国家日益重视的一个领域。由iCER ACRES支持的教育过程将使学生能够解决一系列对美国有重大好处的计算项目。特别是，计算科学现在在改善国家健康，促进我们的共同繁荣和福利以及推进美国的网络防御方面非常重要。通过本网站提供的项目将通过实践教育活动提高计算和数据科学领域的整体国家技能。除了为本科生提供研究学习经验外，该项目还将扩大未被充分代表的人群对STEM研究的参与，为那些获得HPC资源有限的机构的学生，特别是女性和未被充分代表的群体，提供早期的HPC接触，并激励学生在计算领域从事职业。该计划的总体目标是提高学生的技术技能，以解决广泛的计算领域。iCER ACRES通过以下方式实现这一目标：(i)让本科生参与数据科学和科学计算领域的原创跨学科合作研究；（ii）向学生介绍一套广泛的“经典”编程算法及其在数据科学和科学计算中解决问题的应用；（iii）让本科生接触高性能计算（HPC）资源，用于进行研究和软件工程实践，以提高科学应用的质量。这些项目元素旨在：-让学生通过解决未解决的开放式研究问题来体验和了解研究过程；-增加参与者的学科知识和他们对如何应用这些知识的理解；-帮助学生确定和完善他们的研究和职业兴趣；-为学生介绍学术界和研究生院的世界；和-提供一个论坛，学院互动与教师成员。通过本网站提供的研究项目侧重于算法、模型和软件的开发和增强，用于需要高性能资源的多个领域的应用程序。这些领域包括但不限于：计算化学、生物学、天体物理学、数学、大数据科学、计算电磁学和网络安全。该站点由国防部与NSF REU项目合作提供支持。

This research experience for undergraduates (REU) project aims to engage undergraduates in learning experiences that increase student's interest and ability to conduct computational and data science research in a range of scientific domains. The ability to effectively solve problems on high-performance computational resources is an area of increasing national importance. The educational process supported by iCER ACRES will enable students to address a range of computational projects of significant benefit to the US. In particular, computational science is now important in improving the health of the country, advancing our common prosperity and welfare and advancing the cyber-defense of the US. Projects provided through this site will advance the overall national skillset in the computational and data sciences field through hands-on educational activities. In addition to providing undergraduates with research learning experiences, this project will broaden the participation of underrepresented populations in STEM research, provide early HPC exposure to students from institutions with limited access to HPC resources, especially women and underrepresented groups and motivate students to pursue careers in computational fields. The overarching goal of the program is to increase students' technical skillset to address in a broad range of computational fields. iCER ACRES achieves this goal by: (i) engaging undergraduates in original interdisciplinary collaborative research in data science and scientific computing domains; (ii) introducing students to a broad set of "classical" programming algorithms and their applications for problem-solving in data science and scientific computing; and (iii) exposing undergraduates to high performance computing (HPC) resources used to conduct research and software engineering practices applied to increase the quality of scientific applications. These program elements are designed to:- Allow students to experience and learn about the research process through working on an unsolved, open-ended research problem;- Increase participants' disciplinary knowledge and their understanding of how that knowledge may be applied;- Assist students in defining and refining their research and career interests;- Provide students with an introduction to the world of academia and graduate school; and- Provide a forum for collegial interaction with a faculty member.Research projects provided through this site focus on the development and enhancement of algorithms, models, and software for applications in multiple domains that require high performance resources. These domains include but are not limited to: computational chemistry, biology, astrophysics, mathematics, big data science, computational electromagnetics and cybersecurity. This site is supported by the Department of Defense in partnership with the NSF REU program.