J. Cumby, M. Degiacomi, V. Erastova, J. Güven, C. Hobday, Antonia Mey, Hannah Pollak, Rafał Szabla
{"title":"Course Materials for an Introduction to Data-Driven Chemistry","authors":"J. Cumby, M. Degiacomi, V. Erastova, J. Güven, C. Hobday, Antonia Mey, Hannah Pollak, Rafał Szabla","doi":"10.21105/jose.00192","DOIUrl":null,"url":null,"abstract":"Data-Driven Chemistry is a course aimed at undergraduate students in chemistry with no prior knowledge of programming and programmatic data analysis. It is designed as a 10-week-long course,1 introducing Python programming and its usage in data analysis typically required for a chemistry degree. The course consists of 10 units designed to be used in a blended learning environment of live coding and explanations, followed by a set of in-course tasks to be solved individually or through pair programming.","PeriodicalId":75094,"journal":{"name":"The Journal of open source education","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of open source education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/jose.00192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Data-Driven Chemistry is a course aimed at undergraduate students in chemistry with no prior knowledge of programming and programmatic data analysis. It is designed as a 10-week-long course,1 introducing Python programming and its usage in data analysis typically required for a chemistry degree. The course consists of 10 units designed to be used in a blended learning environment of live coding and explanations, followed by a set of in-course tasks to be solved individually or through pair programming.
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