{"title":"Starting a computational science program","authors":"J. Caristi, Valerie Barr, Joe Sloan, E. Stahlberg","doi":"10.1145/1953163.1953167","DOIUrl":null,"url":null,"abstract":"It is evident from the recent discussions about computational thinking and the number of papers, panels and birds-of-a-feather sessions at the 2010 SIGCSE Symposium that there is not only a deep connection between computer science and many other disciplines, especially in the sciences, but also a desire to think of computation as an equal partner with experimentation and theory in the solution of science problems. As David Hemmendinger said in a thought piece that appeared recently in ACM Inroads: “Teaching computational thinking [to students in disciplines other than computer science] ... is to teach them how to think like an economist, a physicist, an artist, and to understand how to use computation to solve their problems, to create, and to discover new questions that can be fruitfully explored.” [1].","PeriodicalId":137934,"journal":{"name":"Proceedings of the 42nd ACM technical symposium on Computer science education","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 42nd ACM technical symposium on Computer science education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1953163.1953167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
It is evident from the recent discussions about computational thinking and the number of papers, panels and birds-of-a-feather sessions at the 2010 SIGCSE Symposium that there is not only a deep connection between computer science and many other disciplines, especially in the sciences, but also a desire to think of computation as an equal partner with experimentation and theory in the solution of science problems. As David Hemmendinger said in a thought piece that appeared recently in ACM Inroads: “Teaching computational thinking [to students in disciplines other than computer science] ... is to teach them how to think like an economist, a physicist, an artist, and to understand how to use computation to solve their problems, to create, and to discover new questions that can be fruitfully explored.” [1].