课程
计算模型
计算机科学
计算思维
基因组
数据科学
科学教育
数学教育
大数据
计算基因组学
计算问题
本科研究
计算复杂性理论
计算模拟
工程伦理学
本科教育
生物科学
计算生物学
作者
Robert Gotwals,Amy Sheck,Robert Gotwals,Amy Sheck
标识
DOI:10.1525/abt.2025.87.7.411
摘要
The application of the technologies, techniques, and tools of computational science is an integral part of the research scientist’s toolbox. Computational biology, which includes the discipline of bioinformatics, is a critically relevant and important area of study given the Big Data era. Integrating computational biology, such as bioinformatics, in high school and undergraduate courses is therefore imperative to prepare students for biological college degrees and future research careers in academia, government, or industry. However, high school educators often lack relevant and comprehensible curricula to effectively implement computational biology in the classroom and expose students to vital computational skills. To address this pressing issue, science educators at the North Carolina School of Science and Mathematics (Durham, NC, USA) developed an accessible curriculum, funded by the plant research organization Syngenta, comprising three activities designed to study the rice genome in a high school/undergraduate setting.
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