REU Site: Undergraduate Research in Mathematics, Applied Mathematics, and Statistics at Lafayette College
REU 网站:拉斐特学院数学、应用数学和统计学本科生研究
基本信息
- 批准号:2150343
- 负责人:
- 金额:$ 33.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This award supports a Research Experience for Undergraduates (REU) Site in the Department of Mathematics at Lafayette College. The REU Site will operate for eight weeks in the summer and one week in the academic year in each of the years 2022, 2023, and 2024. Each year, mentors from the Lafayette College mathematics department and from institutions in the surrounding Lehigh Valley will lead ten students chosen from across the United States on innovative research projects in various fields in mathematics, applied mathematics, and statistics. Students will be guided in developing a variety of skills important in the research process, including literature review, critical thinking, mathematical writing, and oral presentation. Summer activities will include talks by renowned guest speakers, instruction in navigating post-college experiences, and discussions of issues of social impact and diversity in the mathematical fields. Students will also develop important social skills, leading to productive partnerships in research and society. The summer experience will culminate in presentations at the Joint Mathematical Meetings and the preparation of articles for submission to high-quality journals, introducing students to the opportunities the mathematical fields offer with direct personal exposure. Both faculty and mentors will grow through the experience as skills for research and mentoring are fostered, leading to the promise of continued success at their home institutions and beyond. Three projects will be offered each year, appropriate for students with varying levels of mathematical background and a diversity of interests. The pool of projects ranges from statistical concepts to applied mathematics including modeling radiotherapy treatment and the volatility index for the stock market to theoretical projects in graph theory, fractals, and combinatorics. A mentor will work daily with three to four students on one of these projects, helping students to develop independent research habits and skills appropriate for successful mathematical research. The experience will lead to tangible products that are presented at meetings and conferences or in refereed journals as well as to the development of both students and mentors as skilled active contributors to mathematical research. In addition, the site will advance goals in diversity in the mathematical fields indirectly through education and directly with partnerships with students and faculty from HBCUs from the Baltimore area. All participants---students and mentors alike---will actively contribute to new knowledge in the mathematical fields.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.
该奖项支持拉斐特学院数学系的本科生研究经验(REU)网站。REU网站将在夏季运行八周,在2022年,2023年和2024年的每一学年运行一周。每年,来自拉斐特学院数学系和利哈伊谷周边机构的导师将带领来自美国各地的10名学生参加数学,应用数学和统计学各个领域的创新研究项目。学生将被引导发展各种技能的研究过程中,包括文献综述,批判性思维,数学写作和口头陈述的重要。暑期活动将包括著名的演讲嘉宾,指导导航后大学的经验,并在数学领域的社会影响和多样性问题的讨论。学生还将培养重要的社交技能,从而在研究和社会中建立富有成效的伙伴关系。夏季的经验将在联合数学会议上的演讲和提交给高质量期刊的文章的准备达到高潮,向学生介绍数学领域提供直接个人接触的机会。教师和导师都将通过研究和指导技能培养的经验,导致在他们的家乡机构和超越持续成功的承诺。每年将提供三个项目,适合具有不同数学背景和兴趣多样性的学生。项目范围从统计概念到应用数学,包括建模放射治疗和股票市场的波动指数,到图论,分形和组合学的理论项目。导师将每天与三到四名学生在这些项目之一,帮助学生培养独立的研究习惯和技能,适合成功的数学研究。经验将导致有形的产品,在会议和会议上或在裁判期刊,以及学生和导师的发展作为熟练的积极贡献者数学研究。此外,该网站将通过教育间接推进数学领域的多样性目标,并直接与来自巴尔的摩地区的HBCU的学生和教师合作。所有参与者--学生和导师都一样--将积极贡献数学领域的新知识。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jeffrey Liebner其他文献
Estimating Heston's and Bates’ models parameters using Markov chain Monte Carlo simulation
使用马尔可夫链蒙特卡罗模拟估计 Heston 和 Bates 模型参数
- DOI:
10.1080/00949655.2014.926899 - 发表时间:
2015 - 期刊:
- 影响因子:1.2
- 作者:
Joshua Cape;W. Dearden;William Gamber;Jeffrey Liebner;Qin Lu;M. L. Nguyen - 通讯作者:
M. L. Nguyen
Markov Models for Neuronal Spike Trains
神经元尖峰序列的马尔可夫模型
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Jeffrey Liebner - 通讯作者:
Jeffrey Liebner
Comment on “How Biased are US Government Forecasts of the Federal Debt?”
评论“美国政府对联邦债务的预测有多大偏差?”
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
E. Gamber;Jeffrey Liebner - 通讯作者:
Jeffrey Liebner
Jeffrey Liebner的其他文献
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