高教学刊2026，Vol.12Issue(9)：135-138,4.DOI:10.19980/j.CN23-1593/G4.2026.09.032
"人工智能+"下财经类院校深度学习课程建设探索
摘要
Abstract
Against the backdrop of the"Artificial Intelligence+"national strategy and the construction of the New Liberal Arts,this paper addresses critical pain points in Deep Learning courses at finance and economics universities,such as the decoupling of training objectives from management scenarios and the lack of disciplinary characteristics in teaching resources.We propose and implement a three-in-one course construction model:"problem orientation,interdisciplinary integration,and practical application".First,adhering to problem-orientation,the curriculum system is reconstructed around typical management science decision-making tasks,such as demand forecasting and resource scheduling,to clarify the logic that"technology serves decision-making".Second,by strengthening interdisciplinary integration,deep learning algorithms are aligned with optimization theories and statistical intuitions in management science,effectively lowering the cognitive threshold for students of economics and management.Finally,emphasizing practical application,a semester-long integrated case study based on New York City Taxi and Limousine Commission(TLC)big data is designed to guide students through a closed-loop practice,moving from algorithmic modeling to management decision-making within real-world management contexts.The three-in-one model provides a replicable reform paradigm for the cultivation of digital-intelligence-driven composite talents under the framework of New Liberal Arts.关键词
人工智能+/深度学习/财经类院校/贯穿式案例/管理科学问题Key words
Artificial Intelligence+/deep learning/finance and economics universities/integrated case study/management science problem分类
社会科学引用本文复制引用
唐昕迪,何方.."人工智能+"下财经类院校深度学习课程建设探索[J].高教学刊,2026,12(9):135-138,4.基金项目
国家自然科学基金青年项目"城际定制客运运营规划与在线调度研究"(72301305) （72301305）
国家自然科学基金面上项目"多平台网约车市场的博弈与聚合研究:均衡分析与运营策略优化"(72371141) （72371141）
2024年度中央财经大学教育教学改革基金项目资助课题"'人工智能+'背景下财经类院校《深度学习》课程建设的探索与实践"(2024ZCJG46) （2024ZCJG46）
