高教学刊2025，Vol.11Issue(13)：5-8,4.DOI:10.19980/j.CN23-1593/G4.2025.13.002
将行星数据分析融入机器学习教学:理论与实践
摘要
Abstract
This research delves into the teaching methodology of incorporating Mars LIBS data from planetary data and projects related to planetary remote sensing crater identification into the curriculum.By designing a comprehensive teaching plan that integrates data processing from actual planetary science research and machine learning techniques,the aim is to facilitate students'learning and application in the interdisciplinary field of science and technology.This paper also provides detailed explanations of curriculum content design,teaching methods,teaching effectiveness,and assessment,along with an analysis and summary of two typical cases during the implementation of this interdisciplinary education approach.关键词
机器学习/行星数据/激光诱导击穿光谱技术/遥感/撞击坑Key words
Machine Learning/Planetary Data/Laser-Induced Breakdown Spectroscopy/remote sensing/impact crater分类
社会科学引用本文复制引用
张立,刘芳,吕英波,韩凉..将行星数据分析融入机器学习教学:理论与实践[J].高教学刊,2025,11(13):5-8,4.基金项目
教育部新文科研究与改革实践项目"卫星遥感金融课程及创新教育平台建设"(2021140084) （2021140084）
山东省本科教学改革研究项目面上项目"新文科建设中理工科的支撑和融合作用研究与实践"(M2021322) （M2021322）
山东大学(威海)2022年教育教学改革研究项目"学科交叉融合增强机器学习课堂自主学习动力"(Y2022037) （威海）
