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REU Site: Georgia Institute of Technology Mathematics Research Experiences for Undergraduates

REU Site: Georgia Institute of Technology Mathematics Research Experiences for Undergraduates
REU 网站:佐治亚理工学院本科生数学研究经验
批准号:
1851843
负责人:
Michael Lacey
金额:
$38.04万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-04-01 至 2024-03-31

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中文摘要
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英文摘要
The primary aims of this REU program in mathematics are to: (i) provide high-quality research experiences, together with professional development activities, for diverse cohorts of undergraduates; (ii) motivate talented undergraduates to pursue, and succeed in, graduate study; (iii) recruit a diverse cohort of undergraduates; (iv) attract students from institutions that have limited research activities; and (v) continue engagement of the participants beyond the summer program when they return to their home institutions. Participants will work individually or in teams with individual faculty members who guide them through a research experience. Weekly team-building and professional development activities take place, including an extensive guide to graduate school, and culminating in a poster session for all participants. The participants leave the program prepared to present their work at conferences nationwide and with a firm grasp of the benefits of graduate school as well as a timeline for applications to graduate school.Undergraduates will participate in a diverse array of projects in mathematics, ranging from explorations in mapping class groups to topics in modern data science. All topics reflect important current trends in mathematics research. Many are strongly motivated by applications, ranging from architecture, to mixing of fluids, to modern signal analysis. For example, mapping class groups are built from the collection of all deformations of a surface. The object itself has additional structure, inherited from the surface, but expressed in an entirely different language. Those properties in turn yield insights into, for instance, how to most efficiently mix two types of very stiff fluids. Other examples come from data science, a very broad subject with an ever-increasing set of applications, including automatic detection of patterns, from hand written digits to community structures.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.
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Topics in Discrete Harmonic Analysis
  • 批准号:
    2247254
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.01万
  • 财政年份:
    2023
  • 负责人:
    Michael Lacey
  • 依托单位:
Sparse Bounds and Improving Estimates, Continuous and Discrete
  • 批准号:
    1949206
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.77万
  • 财政年份:
    2020
  • 负责人:
    Michael Lacey
  • 依托单位:
Discrete Problems in Harmonic Analysis and One Bit Sensing
  • 批准号:
    1600693
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $27.0万
  • 财政年份:
    2016
  • 负责人:
    Michael Lacey
  • 依托单位:
Two Weight Inequalities for Singular Integrals
  • 批准号:
    1265570
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $32.7万
  • 财政年份:
    2013
  • 负责人:
    Michael Lacey
  • 依托单位:
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