{"title":"Incorporación de la programación informática en el currículum de Biología","authors":"Antonio Carvajal-Rodríguez","doi":"10.1016/j.magis.2015.12.002","DOIUrl":null,"url":null,"abstract":"<div><p>The joint effect of biotechnology and computing has changed the research in biology. Consequently, computational biology is as essential for 21st-century biologists as molecular biology was in the 20th. However, Biology curricula have little emphasis in quantitative thinking and computation. The education for biologists should become as sophisticated as the computational education of physicists and engineers. The necessary changes to reach this goal require the connection of mathematics and quantitative subjects with real biological problems and at the same time, teaching some biological subjects from a modeling and computational perspective. In the present work, some of the current international effort in this path is reviewed and additionally, the author's experience when teaching an introduction to programming for biologists is presented.</p></div>","PeriodicalId":100881,"journal":{"name":"Magister","volume":"27 2","pages":"Pages 76-82"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.magis.2015.12.002","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magister","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0212679615000286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The joint effect of biotechnology and computing has changed the research in biology. Consequently, computational biology is as essential for 21st-century biologists as molecular biology was in the 20th. However, Biology curricula have little emphasis in quantitative thinking and computation. The education for biologists should become as sophisticated as the computational education of physicists and engineers. The necessary changes to reach this goal require the connection of mathematics and quantitative subjects with real biological problems and at the same time, teaching some biological subjects from a modeling and computational perspective. In the present work, some of the current international effort in this path is reviewed and additionally, the author's experience when teaching an introduction to programming for biologists is presented.
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