REU Site: Research Experiences in Algorithm Design and Analysis for Students in Undergraduate Institutions
REU Site: Research Experiences in Algorithm Design and Analysis for Students in Undergraduate Institutions
批准号:
0851984
负责人:
Ping Chen
金额:
$30.83万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-06-01 至 2013-05-31
中文摘要
该奖项为休斯顿大学的一个新的本科生研究经验网站提供资金,该网站专注于算法设计和分析。在市中心。休斯顿市中心大学被美国教育部认定为西班牙裔服务机构和少数民族服务机构。REU网站的目标是为有才华的本科生提供真正的研究经验,并将他们置于从大学到研究生院和基于科学的就业的管道中。该项目从当地和全国的本科院校招收学生,重点是少数民族和女性学生。每年有8名学生参与正在进行的研究,调查与算法设计和分析相关的问题。学生们将接受为期10周的研究领域强化训练,并掌握基本的研究技能,包括有效的文献综述、算法设计与实现、实验设置、结果分析、技术写作和演示。强调和鼓励团队合作和协作。导师团队由教师和行业专家组成,为学生提供学术和行业研究经验和就业机会。智力价值:提议的项目代表了本科生通常不会参与的水平的创新研究,他们的工作应该推进算法设计和分析领域的知识状态。计算机科学课程有可能从采用由研究项目产生的课堂项目和课堂模块中受益。更广泛的影响:该项目的更广泛的影响包括为本科生,特别是女性和来自代表性不足群体的学生提供高质量的研究经验。参与的教师致力于在他们的研究中包括代表性不足的少数民族学生。因此,这个项目有可能产生新的计算机科学研究生和教师,并在促进学习的同时推进发现和理解。该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。
英文摘要
This award provides funding for a new Research Experiences for Undergraduate site focused on algorithm design and analysis at the University of Houston ? Downtown. The University of Houston-Downtown has been recognized as a Hispanic Serving Institution as well as a Minority Serving Institution by the U.S. Department of Education. The objective of the REU site is to provide talented undergraduate students genuine research experience and place them into the pipeline from college to graduate school and scientific-based employment. The project recruits students locally and nationally from undergraduate institutions with emphasis on minority and women students. Each year 8 students participate in on-going research to investigate problems related to algorithm design and analysis. The students receive10-week intensive training in the research areas as well as basic research skills including effective literature review, algorithm design and implementation, experiment setup, result analysis, technical writing, and presentation. Teamwork and collaboration is emphasized and encouraged. The mentor team consist of both faculty and industrial experts to provide students both academic and industry research experience and career opportunities. Intellectual merit: The proposed projects represent innovative research on a level in which undergraduates would not normally participate, and their work should advance the state of knowledge in the field of algorithm design and analysis. There is potential for computer science curricula to benefit from the adoption of class projects and class modules spawned from the research projects.Broader Impacts: The broader impacts of the project include providing a quality research experience to undergraduate students, particularly women and students from underrepresented groups. The participating faculty members are committed to including under-represented minority students in their research. Thus this project has the potential to produce new computer science graduate students and faculty members and to advance discovery and understanding while promoting learning.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
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