REU Site: Harvey Mudd REU Site in Computer Systems

这一奖项更新了哈维穆德学院的CISE本科生研究经验(REU)网站。一个计算机科学教师导师团队在计算机系统的广泛领域设计了一个为期10周的夏季REU项目。暑期研究活动让学生体验到研究生院最引人注目的部分，以及计算机科学领域的身临其境的体验。学生的研究项目涵盖了计算机科学的广泛领域。学生们将在研究过程的各个方面获得经验。该网站将面向本科早期学习的学生，教职员工致力于吸引传统上在计算机领域代表性不足的群体的学生。该项目以个人和集体活动为特色，为学生创造了一种强大的共同队列体验，对他们来说，REU体验应该是变革性的。该计划发展研究能力，提高陈述和沟通能力，并培养学生对研究相关职业的兴趣。该项目的智力优势围绕着各种系统项目，通过这些项目，学生将接触到研究过程的方方面面。研究的重点领域包括文本简化、机器学习、机器人学、程序分析、计算创造力、特定领域的编程语言和主动交通规划。每个项目都与系统主题相联系，在现有平台上构建，融合理论和实践，并实施设计以降低复杂性。这些项目旨在让刚步入本科职业生涯的学生能够接触到，并分享了低成本和低管理费用、交付成果的外部可获得性和关注范围狭窄的原则。学生参与的项目是令人兴奋的、最新的、与外部相关的，并有明确的应用。学生积极从事整个研究过程，包括文献搜索、消化以前的工作、提出新问题、设计和进行调查，以及准备结果的演示和出版。REU的团队将定期相互分享他们的工作，并每天与教员导师会面。项目活动将使学生获得宝贵的专业发展技能，对研究有更广泛和更深入的了解，并对自己作为未来计算专业人员和研究人员的能力建立更大的信心。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award renews the CISE Research Experiences for Undergraduates (REU) Site at Harvey Mudd College. A team of computer science faculty mentors have designed a 10-week summer REU program in the broad area of computer systems. The summer research activity gives students a taste of the most compelling parts of a graduate school experience as well as an immersive experience in the field of computer science. The student research projects cover a breadth of areas in computing science. The students will gain experience in all aspects of the process of conducting research. The site will target students early in their undergraduate studies and the faculty is committed to engaging students from groups traditionally under-represented in computing. The program features individual and group activities that create a strong common-cohort experience for students for whom the REU experience should be transformative. The program develops research ability, improves presentation and communications skills, and nurtures student interest in research-related careers.The intellectual merit of the project revolves around the variety of systems projects through which students will be exposed to all aspects of the research process. The research focus areas include text simplification, machine learning, robotics, program analysis, computational creativity, domain-specific programming languages, and active transportation planning. Each project connects with the systems theme, building atop existing platforms, melding theory and practice, and implementing designs to mitigate complexity. The projects are designed to be accessible to students early in their undergraduate careers and share principles of low-cost and low-overhead, external accessibility of deliverables, and narrowness of focus. The students engage in projects that are exciting, current, and externally relevant and that have clear applications. Students actively pursue the entire research process including literature search, digesting prior work, formulating new problems, designing and conducting investigations, and preparing presentations and publications of results. The REU cohorts will regularly share their work with each other and meet daily with faculty mentors. The project activities will permit students to acquire valuable professional development skills, gain a broader and deeper understanding of research, and develop greater confidence in their abilities as future computing professionals and researchers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.