REU Site: Summer Undergraduate Research Experience (SURE) at Illinois Tech
REU 网站:伊利诺伊理工大学暑期本科生研究经历 (SURE)
基本信息
- 批准号:2244553
- 负责人:
- 金额:$ 40.49万
- 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
- 起止时间:2023-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The Summer Undergraduate Research Experience (SURE) program at Illinois Tech engages ten undergraduates, three faculty mentors, and three graduate students for this ten week program for each of 3 years to study research topics in computational mathematics and machine learning. SURE students are embedded in existing, active research groups where they acquire both technical as well as communication and teamwork skills. SURE makes a concerted effort to diversify the research environment by targeting female and underrepresented minority students and students from academic institutions with limited research opportunities. The program is designed to prepare SURE students for graduate study in mathematics, statistics, or related fields in preparation for research careers in academia or industry. The SURE program promotes advanced training in STEM disciplines. The student-centered learning-research modules enhance participants’ knowledge of mathematics and statistics and develop their capabilities in conducting independent research. SURE students explore real-world research challenges and learn to pose questions, collect preliminary findings, modify their questions as necessary, and pursue answers. SURE students learn to be effective in communication, teamwork, professionalism, and responsibility. SURE engages in a wide range of computational mathematics and machine learning topics, including i) building and applying energetic variational inference algorithms, ii) developing code for pattern formation models in physical and biological systems, iii) assessing models for scoring environment, sustainability, and government risk factors in finance, and iv) identifying novel sampling methods and stopping criteria for Monte Carlo simulations. During the summer, SURE participants present their work bi-weekly and receive feedback from each other and their faculty and graduate student mentors. The summer program concludes with a poster day where students present their research to the Illinois Tech community.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.
伊利诺伊州理工学院的夏季本科研究经验(ALE)课程与这十周的计划中的十个本科生与十个本科生,三名教职员工和三名研究生与研究计算数学和机器学习的研究主题。当然,学生嵌入到现有的活跃研究小组中,在那里他们获得了技术以及沟通和团队合作技能。当然,通过针对女性和代表性不足的少数民族学生和来自学术机构的学生的研究机会,努力使研究环境多样化。该计划旨在为学生准备数学,统计或相关领域的研究生学习,以准备学术界或行业的研究职业。确定的计划促进了STEM学科的高级培训。以学生为中心的学习研究模块增强了参与者对数学和统计的了解,并发展了他们在进行独立研究方面的能力。当然,学生探索现实世界中的研究挑战,并学习提出问题,收集初步发现,根据需要修改他们的问题以及购买答案。确保学生学会有效地进行沟通,团队合作,专业和责任。 SURE engages in a wide range of computational mathematics and machine learning topics, including i) building and applying energy variational inference algorithms, ii) developing code for pattern formation models in physical and biological systems, iii) assessing models for scoring environment, sustainability, and government risk factors in finance, and iv) identifying novel sampling methods and stopping criteria for Monte Carlo simulations.在夏季,肯定的参与者每两周展示他们的工作,并从彼此以及他们的教职员工和研究生导师那里获得反馈。夏季课程以帖子日结束,学生将其研究向伊利诺伊州科技界展示。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响评估标准,被视为通过评估来获得珍贵的支持。
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)

暂无数据
数据更新时间:2024-06-01
Yuhan Ding其他文献
An Adaptive Algorithm Employing Continuous Linear Functionals
采用连续线性泛函的自适应算法
- DOI:10.1007/978-3-030-43465-6_810.1007/978-3-030-43465-6_8
- 发表时间:20182018
- 期刊:
- 影响因子:0
- 作者:Yuhan Ding;F. J. Hickernell;Lluís Antoni Jiménez RugamaYuhan Ding;F. J. Hickernell;Lluís Antoni Jiménez Rugama
- 通讯作者:Lluís Antoni Jiménez RugamaLluís Antoni Jiménez Rugama
GAIL - Guaranteed Automatic Integration Library in MATLAB: Documentation for Version 2.1
GAIL - MATLAB 中保证自动积分库:2.1 版文档
- DOI:
- 发表时间:20152015
- 期刊:
- 影响因子:0
- 作者:Sou;Yuhan Ding;F. J. Hickernell;Lan Jiang;Lluís Antoni Jiménez Rugama;Xin Tong;Yizhi Zhang;Xuan ZhouSou;Yuhan Ding;F. J. Hickernell;Lan Jiang;Lluís Antoni Jiménez Rugama;Xin Tong;Yizhi Zhang;Xuan Zhou
- 通讯作者:Xuan ZhouXuan Zhou
Guaranteed adaptive univariate function approximation
有保证的自适应单变量函数逼近
- DOI:
- 发表时间:20152015
- 期刊:
- 影响因子:0
- 作者:Yuhan DingYuhan Ding
- 通讯作者:Yuhan DingYuhan Ding
7. Adaptive approximation for multivariate linear problems with inputs lying in a cone
7. 输入位于圆锥体中的多元线性问题的自适应逼近
- DOI:10.1515/9783110635461-00710.1515/9783110635461-007
- 发表时间:20192019
- 期刊:
- 影响因子:0
- 作者:Yuhan Ding;F. J. Hickernell;P. Kritzer;Simon MakYuhan Ding;F. J. Hickernell;P. Kritzer;Simon Mak
- 通讯作者:Simon MakSimon Mak
Guaranteed Automatic Integration Library (GAIL): An Open-Source MATLAB Library for Function Approximation, Optimization, and Integration
有保证的自动积分库 (GAIL):用于函数逼近、优化和积分的开源 MATLAB 库
- DOI:
- 发表时间:20222022
- 期刊:
- 影响因子:0
- 作者:Xin Tong;Sou;Yuhan Ding;F. J. Hickernell;Lan Jiang;Lluís Antoni Jiménez Rugama;Jagadeeswaran Rathinavel;Kan Zhang;Yizhi Zhang;Xuan ZhouXin Tong;Sou;Yuhan Ding;F. J. Hickernell;Lan Jiang;Lluís Antoni Jiménez Rugama;Jagadeeswaran Rathinavel;Kan Zhang;Yizhi Zhang;Xuan Zhou
- 通讯作者:Xuan ZhouXuan Zhou
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