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Scientific Computation for Interdisciplinary Data Analysis and Technological Application

Scientific Computation for Interdisciplinary Data Analysis and Technological Application
跨学科数据分析与技术应用的科学计算
批准号:
9851642
负责人:
Keith Clay
金额:
$6.41万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-09-15 至 2000-08-31

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中文摘要
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英文摘要
The faculty of Green River Community College are creating a new program requiring realistic computerized data analysis in all courses in geology, physics, and chemistry. The program requires all students to participate in scientific computing using data from industry and their own labs, to be done in a new central computer laboratory and in laboratories electronically connected to the center. The confinement of data analysis and computation to lab period will be eliminated, making entire courses into active science courses. Most science students develop problem solving skills for a limited range of problems modeled by homework assignments from traditional texts, but when presented with problems in real data analysis even talented students are often at a loss. Vocational students and non-science majors are even less likely to gain exposure to the real world of scientific data or to use a computer as anything other than a word processor. Businesses have identified the need for computer skills as one of the greatest problems in the workplace and education research has identified a need for direct exposure to investigative science with real data and applications. A coordinated program of computerized data analysis meets both needs. This project involves all physical science students in the daily analysis of scientific data. Computers are used as natural components of scientific exploration. Less able students utilize peer tutors to boost their computer skills. All students collect data from experiments or industrial collaborators and analyze data cooperatively in the central computer laboratory. Interdisciplinary courses blend computers, physics, and chemistry, geology and the environment, and other sciences with subjects outside of the sciences as well. Students in this program can strengthen their computer skills, their scientific literacy, their cooperative study skills, and their appreciation for the relevance and interconnectedness of science. Vocational students and non-science majors benefit along with future scientists and engineers. Gains in our understanding of science education could have benefits well beyond the boundaries of this college.
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DISSERTATION RESEARCH: The role of phyllosphere microbiomes in plant species coexistence and plant-pathogen interactions
  • 批准号:
    1701816
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.01万
  • 财政年份:
    2017
  • 负责人:
    Keith Clay
  • 依托单位:
Dissertation Research: Assembly, maintenance, and function of the plant-endophyte symbiosis
  • 批准号:
    1601135
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.96万
  • 财政年份:
    2016
  • 负责人:
    Keith Clay
  • 依托单位:
OPUS: Synthesizing Defensive Symbiosis from a Microbial Perspective
  • 批准号:
    1354078
  • 项目类别:
    Standard Grant
  • 资助金额:
    $14.53万
  • 财政年份:
    2014
  • 负责人:
    Keith Clay
  • 依托单位:
Doctoral Dissertation Research: Assessing geographic patterns of negative density dependence in temperate tree species.
  • 批准号:
    1110533
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.34万
  • 财政年份:
    2011
  • 负责人:
    Keith Clay
  • 依托单位:
国内基金
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  • 批准号:
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  • 资助金额:
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  • 批准年份:
    2022
  • 负责人:
    李嘉琛
  • 依托单位:
基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
  • 批准号:
    81903416
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    19.0万元
  • 批准年份:
    2019
  • 负责人:
    陈永杰
  • 依托单位: