REU SITE: Research Experience for Undergraduates in Frontiers in Data-driven Computing
REU SITE: Research Experience for Undergraduates in Frontiers in Data-driven Computing
批准号:
2244279
负责人:
Ernst Leiss
金额:
$42.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-02-15 至 2026-01-31
中文摘要
休斯顿大学计算机科学系将在以数据为中心的计算前沿领域开展本科生研究体验(REU)现场项目,这是一个具有国家重要性的领域。参与有意义的研究活动使参与者能够评估他们进行研究的能力,从而通过扩展其在计算机科学方面的知识库而使这一概念受益。在项目的三个夏季中,每年都会选出10名学生参加为期10周的住宿活动。具体的课程目标如下:(1)培养学生的科学研究能力,以及演讲和写作技能。(2)学生将产生有意义的研究成果,这些成果可能会在适当的会议或期刊上发表。(3)参与者将学习展示和传播研究成果。技术活动将与小组活动相结合,如实地考察当地研究实验室和研讨会的学术和工业研究人员,以及REU计划的校友。(4)通过持续的接触和研究参与,包括研究成果的展示,参与者将在夏季结束后保持并增加他们对研究事业的兴趣。重点是专业发展,这样学生就可以继续在本国大学从事研究项目,并为研究生学习做好准备。学生将参加有关职业发展、道德和法律问题(如知识产权)以及文献检索方法的研讨会;他们将收到关于研究生院相关问题的广泛建议,包括如何选择项目/学校/导师。目标是让项目的导师在项目结束后对参与者产生持久的影响。项目的成功将通过学生和教师的问卷调查以及外部评估人员进行持续评估;这些反馈用于改进程序。本项目提出了有趣而有意义的研究项目。任何研究努力的一个关键方面是可验证的事实。在大多数计算机科学(CS)研究中,是数据体现了这些潜在的事实。因此,重要的是让参与者了解研究、客观性和可验证性的核心原则。项目分析各种类型的数据提出,以暴露参与者这些研究的核心原则。招收的学生来自那些在计算机科学方面提供有限研究机会的大学,比如历史上的黑人大学。在这些机构中,许多有才华的学生要么不知道从事研究工作的可能性,要么缺乏第一手探索研究的机会。重点将放在吸引代表性不足的少数民族和妇女。该项目应该吸引新的非传统学生参与研究,增强他们对计算机科学的兴趣,提高学生在学术课程中的保留率,并为他们进入研究生院做好准备。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Computer Science Department of the University of Houston will conduct a Research Experience for Undergraduates (REU) site program in Data-Centric Frontiers of Computing, an area of national importance. Exposure to meaningful research activities allows participants to assess their ability to conduct research which in turn benefits the notion by expanding its knowledge base in computer science. In each of the three summers of the program, ten students are selected for ten weeks of residential activities. The specific program objectives are as follows: (1) Students will develop competency in scientific research, as well as presentation and writing skills. (2) Students will produce meaningful research results, which may be written up for publication in an appropriate conference or journal. (3) Participants will learn to present and disseminate research results. Technical activities will be integrated with group activities, such as site visits to local area research laboratories and seminars by academic and industrial researchers, as well as alumni of the REU program. (4) Participants will sustain and increase their interest in research careers after the summer, through continuing contacts and research participation, including presentations of research results. The focus is on professional development so students can continue to work on research projects at their home university and be prepared for graduate studies. Students will take part in workshops on career development, ethics and legal issues (e. g., intellectual property), and methods of literature search; they will receive extensive advice on questions related to graduate school, including how to choose a program/school/advisor. The goal is for the program’s mentors to make a lasting impact on its participants beyond the program's duration. Program success will be continually evaluated through student and faculty questionnaires, and by an external evaluator; this feedback is used to improve the program. Interesting and meaningful research projects are proposed in this project. A crucial aspect of any research endeavor is verifiable facts. In most computer science (CS) research, it is data that embody these underlying facts. It is therefore important that participants learn about the core tenets of research, objectivity and verifiability. Projects analyzing various types of data are proposed to expose participants to these core tenets of research. Students are recruited from universities that offer limited research opportunities in computer science, such as historically black colleges. Many talented students in such institutions are either unaware of research career possibilities or lack access to opportunities to explore research firsthand. Emphasis will be placed on attracting underrepresented minorities and females. The program should attract new, nontraditional students into research, reinforce their interest in CS, improve student retention in their academic programs, and prepare them for graduate school.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
REU Site: Undergraduate Research Experience in Frontiers of Data-Driven Computing
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批准号:1950297
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项目类别:Standard Grant
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资助金额:$40.27万
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财政年份:2020
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负责人:Ernst Leiss
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批准号:0519316
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负责人:Ernst Leiss
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