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Computerized Data Acquisition, Computer Simulations, and theWorld Wide Web in a Unique Undergraduate Laboratory in Physiology

Computerized Data Acquisition, Computer Simulations, and theWorld Wide Web in a Unique Undergraduate Laboratory in Physiology
独特的生理学本科实验室中的计算机数据采集、计算机模拟和万维网
批准号:
9651280
负责人:
Donald Hoagland
金额:
$1.86万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-07-15 至 1998-06-30

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中文摘要
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英文摘要
This small, liberal arts institution serves approximately 5,000 undergraduate students. Each year approximately 300 students conduct physiology laboratory experiments in one of five separate biology courses. Six to seven percent of these students come from traditionally underrepresented groups in the sciences. In these courses, students learn physiological concepts and techniques through an inquiries-based approach and through cooperative and collaborative learning. While the laboratory methods for collecting and recording data pertaining to physiological events have progressed rapidly, the equipment available to students has not kept pace. A series of experiments based upon those already being performed is being developed to give students the opportunity to collect and analyze data with state-of-the-art transducers and instrumentation and a computerized acquisition system. Additionally, computer simulations of other physiological events are used, allowing for practical lab experience, realistic experimental design, and data analysis in a short period of time and at a low cost. The inclusion of additional laboratory exercises designed to investigate human physiology makes the lab experience more relative to a wider variety of students and helps recruit more underrepresented students into biology. Finally, all new laboratory exercises and student-collected data can be made available through the World Wide Web. Posting the data enables students conducting the same experiments throughout the world to share their data, refine the laboratory exercises, and establish networks that can serve them throughout their careers.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: