“人工智能+ ”下财经类院校深度学习课程建设探索

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中图分类号：G642 文献标志码：A 文章编号：2096-000X（2026）09-0135-04

Abstract： Against the backdrop of the "Artificial Intelligence + "national strategy and the construction of the New Liberal Arts，thispaperadresescriticalpainpointsinDepLearningcoursesatfinanceandeconomicsuniversities，suchasthe decouplingoftrainingobjectivesfrommanagementscenariosandthelackofdisciplinarycharacteristicsinteachingresources.We proposeandimplementathree-nonecourseconstructionmodel："problemorientationnterdisciplinaryintegration，andpractical application".Firstadheringtoproblemrientation，thecuricuumsystemisreconstructedaroundtypicalmanagementscience decision-makingtasks，suchasdemandforecastingandresourcescheduling，toclarifythelogicthat"technologyservesdecisionmaking".Second，bstrengtheingnterdiscipinaryntegationdpleangalgorithsarealigndwithoptimizationthoisnd statisticalintuitionsinmanagementscience，efectivelyloweringthecognitivethresholdforstudentsofeconomicsand management.Finally，emphasizingpracticalaplication，asemester-longintegratedcasestudybasedonNewYorkCity Taxiand LimousineCommission（TLC）bigdataisdesignedtoguidestudentsthroughaclosed-looppractice，movingfromalgorithmic modelingtomanagementdecision-makingwithinreal-worldmanagementcontexts.Thetree-in-onemodelprovidesareplicable reformparadigmforthecultivationofdigital-intellgence-drivencompositetalentsundertheframeworkofNewLiberalArts.

Keywords： Artificial Intelligence + ; deep learning; finance and economics universities; integrated case study; management scienceproblem

随着第四次工业革命的纵深发展，人工智能（AI）已不再仅仅是计算机科学的一个分支，而是成为如同互联网一样的通用目的技术，深刻重塑着金融、管理等传统财经领域。（剩余6141字）