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PRISM: UCI Interdisciplinary computational and applied mathematics program

PRISM: UCI Interdisciplinary computational and applied mathematics program
PRISM:UCI 跨学科计算和应用数学项目
批准号:
0928427
负责人:
Jack Xin
金额:
$195.06万
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:
2009-09-01 至 2015-08-31

项目摘要

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中文摘要
翻译
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。主要研究者(PI)为加州大学欧文分校(UCI)低年级本科生提出了一项计算和应用数学研究体验计划。通过这种经验,PI寻求激发学生对数学和计算机科学的兴趣,并在大学教育的早期为学生提供积极的指导。智力的优点是在UCI为大一和大二学生开发数学和计算机科学接口的综合教学和研究计划。该计划中的项目摘自当前信息科学和机器学习的研究,并应用于信号处理、互联网搜索、协同过滤和博弈论。 该计划涉及指导博士后研究员和研究生谁积极参与教学和本科生的建议。本科生应培养创造性思维和编程技能,为他们在高年级的成功和追求高级学位做好准备。该计划是基于在线资源,其课程是便携式的。早期激发和培养大学生的数学兴趣,是提高本科教育整体质量,加强国家科技、工程、数学人才培养的关键环节。在大学教育的早期阶段开展基于计算的数学学习和研究,为学生在现代生活背景下的创造性数学思维奠定了坚实的基础。这将激发他们在初中和高中学习数学,科学和工程高级主题的兴趣,并在未来过渡到创新的科学家和工程师。拟议的计划旨在促进发现和理解,同时促进博士后研究员和研究生职业培训,本科生学习和研究产生广泛的影响。该计划致力于学生的多样性,并将积极从当地高中和UCI现有的少数民族学生计划中招收少数民族学生。项目结果将在国家会议上和通过联机向广大公众传播。早期基于计算的数学学习将为我们的社会带来新一代有创造力和准备充分的科学家,使其在未来几年受益。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The principal investigators (PIs) propose a research experience program in computational and applied mathematics for lower-division undergraduate students at UC Irvine (UCI). Through this experience, the PIs seek to stimulate student interest in mathematics and computer science, and provide positive mentoring to students early in their college education. The intellectual merit is in developing an integrated teaching and research program at the interface of mathematics and computer science for freshman and sophomore students at UCI. The projects in the program are extracted from current research in information sciences and machine learning with applications in signal processing, internet search, collaborative filtering and game theory. The program involves mentoring of postdoctoral fellows and graduate students who actively participate in teaching and advising of undergraduate students. Undergraduate students shall develop creative thinking and programming skills which prepare them well for success in upper division classes and pursuit of advanced degrees. The program is based on on-line resources and its curriculum is portable. Early stimulation and nurturing of mathematical interest of undergraduate students is a key step in improving the overall quality of undergraduate education, and strengthening the nation's output of talented young generations in science, technology, engineering and mathematics. The computing based mathematics learning and research in early stage of college education lays the solid foundation of creative mathematical thinking for students in the context of their modern daily life. This will stimulate their interest in learning advanced topics of mathematics, science and engineering in junior and senior years, and transition to innovative scientists and engineers in the future. The proposed program aims to generate broad impact in advancing discovery and understanding while promoting postdoctoral fellow and graduate student career training, undergraduate student learning and research. The program strives for student diversity and shall actively recruit minority students from local high schools and existing minority student programs at UCI. The project results will be disseminated at national conferences and on-line to a broad range of audience in public. The early computing based learning of mathematics will bring out a new generation of creative and well-prepared scientists for our society to benefit for years to come.
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Deep Particle Algorithms and Advection-Reaction-Diffusion Transport Problems
  • 批准号:
    2309520
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.0万
  • 财政年份:
    2023
  • 负责人:
    Jack Xin
  • 依托单位:
Collaborative Research: ATD: Fast Algorithms and Novel Continuous-depth Graph Neural Networks for Threat Detection
  • 批准号:
    2219904
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.5万
  • 财政年份:
    2023
  • 负责人:
    Jack Xin
  • 依托单位:
Computational and Mathematical Studies of Compression and Distillation Methods for Deep Neural Networks and Applications
  • 批准号:
    2151235
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Jack Xin
  • 依托单位:
FRG: Collaborative Research: Robust, Efficient, and Private Deep Learning Algorithms
  • 批准号:
    1952644
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.02万
  • 财政年份:
    2020
  • 负责人:
    Jack Xin
  • 依托单位:
海外基金