{"title":"开始一个计算科学项目","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":"{\"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}","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}
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].