数据驱动化学导论课程材料

J. Cumby, M. Degiacomi, V. Erastova, J. Güven, C. Hobday, Antonia Mey, Hannah Pollak, Rafał Szabla
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引用次数: 3

摘要

数据驱动化学是一门针对没有编程和程序化数据分析知识的化学本科学生的课程。它被设计为一个为期10周的课程,1介绍Python编程及其在数据分析中的应用,这通常是化学学位所必需的。课程包括10个单元,设计用于实时编码和解释的混合学习环境,随后是一组课程任务,可以单独解决或通过结对编程解决。
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Course Materials for an Introduction to Data-Driven Chemistry
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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