将行星数据分析融入机器学习教学：理论与实践

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中图分类号：G642 文献标志码：A 文章编号：2096-000X（2025）13-0005-04

Abstract：ThisresearchdelvesintotheteachingmethodologyofincorporatingMarsLIBSdatafromplanetarydataand projectsrelatedtoplanetaryremotesensingcrateridentificationintothecuriculum.Bydesigningacomprehensiveteachingplan thatintegratesdataprocesingfromactualplanetaryscienceresearchandmachinelearningtechniques，theaimistofaciliate students'learningandaplicationintheinterdisciplinaryfieldofscienceandtechnology.Thispaperalsoprovidesdetailed explanationsofcurrculumcontentesign，teachingmethods，teachingefectiveness，andassessmntalongwithananalysisnd summary of two typical cases during the implementation of this interdisciplinary education approach.

Keywords： Machine Learning; Planetary Data; Laser-Induced Breakdown Spectroscopy;remote sensing; impactcrater

随着科学技术的不断进步，行星科学研究领域正在经历着一场革命。（剩余5640字）