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| 计算机金融交叉学科人才培养探析 |
| Analysis of the Interdisciplinary Personnel Training in Computational Finance |
| 投稿时间：2022-03-01 |
| DOI：10.19834/j.cnki.yjsjy2011.2022.04.08 |
| 中文关键词: 交叉学科;计算机金融;人才培养 |
| 英文关键词: interdiscipline;computational finance;talent training |
| 基金项目: |
| 作者 | 单位 | | 刘虹 | 南京大学 学科建设与发展规划办公室, 南京 210023 | | 熊文 | 中国科学技术大学 研究生院, 合肥 230026 |
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| 中文摘要: |
| 随着信息技术的飞速发展和我国金融行业改革的不断深化,既懂计算机应用技术又有广博金融知识的复合型创新人才成为社会急需,面对新形势、新任务,高校如何培养计算机金融交叉学科领域高层次人才成为一个值得深入探讨的重要课题。美国一些高校在计算机金融交叉学科人才培养方面起步较早,目前已形成较为完善的培养体系,分析其人才培养模式可以发现,中美两国在招生方式、课程设置、考核评价等方面有较大差异,美国高校的成功经验,可为探索适合中国国情的计算机金融交叉学科人才培养模式提供参考和借鉴。 |
| 英文摘要: |
| With the rapid development of information technology and the deepening reform of financial industry in China, the interdisciplinary and innovative professionals who know computer application technology and have extensive financial knowledge become the great demand of the society. In the new situation with new tasks, how to train students into high-level professionals in the interdisciplinary field of computational finance in higher-learning institutions has become an important subject worthy of in-depth discussion. The training of computational finance interdisciplinary professionals in American colleges and universities started earlier, and a relatively complete training system has been formed. The analysis of its talent training mode finds that there are considerable difference between China and the United States in the way of enrollment, curriculum provision, examination, evaluation, and other aspects. Some successful experience of American colleges and universities in this field can be used as reference for us when we explore the interdisciplinary training mode suitable for the national conditions in China for professionals in computational finance. |
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