新农学背景下生物组学与大数据分析教学改革探索  

Exploration of Teaching Reform of Omics and Big Data Analysis Teaching under the Context of New Agriculture

作　　者：张群洁 王振涛 张慧 赫圣博 贾津布 ZHANG Qunjie;WANG Zhentao;ZHANG Hui;HE Shengbo;JIA Jinbu(College of Agriculture,South China Agricultural University Guangzhou,Guangdong 510642)

机构地区：[1]华南农业大学农学院,广东广州510642

出　　处：《现代农业研究》2025年第2期86-89,共4页Modern Agriculture Research

基　　金：华南农业大学2024年度研究生示范课程(理论课)建设项目“生物组学大数据分析”(项目编号:224343);华南农业大学农学院2022研究生在线开放课程生物信息学与高通数据分析建设项目(项目编号:nxyj202304)。

摘　　要：在科技迅猛发展的背景下,生物组学与大数据分析已成为新农学研究的重要工具。为适应科技需求和多学科交叉趋势,华南农业大学农学院对生物组学与大数据分析研究生课程进行了深度改革,强调课程的特点,更新内容,引入翻转课堂和在线互动等先进教学方法,并搭建实践教学网站与高性能数据分析平台,以提升学生的综合能力、独立科研能力和批判性思维。本文讨论了教学内容、方法和评价体系,并向公众开放了实践教学网站,为新农学背景下相关多组学、多学科交叉的课程提供教学资源与改革参考。With the rapid advancement of science and technology,bioinformatics and big data analysis have become essential tools in modern agronomy research.To meet the evolving demands of technological innovation and interdisciplinary integration,College of Agriculture,South China Agriculture University has undertaken a comprehensive reform of the graduate course Bioinformatics and Big Data Analysis.This reform emphasizes the course's distinctive features,updates its content,and incorporates advanced teaching methods such as flipped classrooms and online interactive sessions.Additionally,we have established a practical teaching website and a high-performance data analysis platform aimed at enhancing students’comprehensive skills,independent research capabilities,and critical thinking.This paper examines the course content,instructional methods,and assessment framework.By making the practical teaching website publicly accessible,we provide resources and a model for teaching reform in courses focused on multi-omics and interdisciplinary approaches within the new agricultural science context.

关 键 词：生物组学 大数据分析 教学改革 多学科交叉 翻转课堂 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论] Q811.4[自动化与计算机技术—计算机科学与技术]