{"title":"Model for the Infrastructure of Engineering Education","authors":"J. Harris, K. Frair, W. Aung, S. Hill","doi":"10.1109/FIE.1992.683371","DOIUrl":null,"url":null,"abstract":"Introduction There are many ways to describe and model physical systems. The infrastructure of engineering education in the United States is an example of such a system, and it is the intent of this report to describe and model this infra~tructure. The means for doing this starts with the graduation statistics for the year 1989 given by the Computer Aided Science Policy Analysis & Research Databa~e System (CASPAR) developed for the National Science Foundation by Quantum Research Corporation [I], and uses a simple categorization for the institutions that contribute to those statistics. This categorization sorts the post -secondary institutions in the United States which enroll engineering students into three types: community colleges (or two year institutions), non-PhD granting institutions (Bachelors and/or Masters engineering degree granting), and PhD engineering degree granting institutions. The intent is to ascertain the contribution of each type of institution to the infrastructure of engineering education.","PeriodicalId":432867,"journal":{"name":"Proceedings. Twenty-Second Annual conference Frontiers in Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Twenty-Second Annual conference Frontiers in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIE.1992.683371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction There are many ways to describe and model physical systems. The infrastructure of engineering education in the United States is an example of such a system, and it is the intent of this report to describe and model this infra~tructure. The means for doing this starts with the graduation statistics for the year 1989 given by the Computer Aided Science Policy Analysis & Research Databa~e System (CASPAR) developed for the National Science Foundation by Quantum Research Corporation [I], and uses a simple categorization for the institutions that contribute to those statistics. This categorization sorts the post -secondary institutions in the United States which enroll engineering students into three types: community colleges (or two year institutions), non-PhD granting institutions (Bachelors and/or Masters engineering degree granting), and PhD engineering degree granting institutions. The intent is to ascertain the contribution of each type of institution to the infrastructure of engineering education.