大数据背景下基于Python语言的《金融市场学》案例式实验教学探索

Exploration of Case-Based Teaching Reform of “Financial Market” Based on Python in the Context of Big Data

摘要: 本文基于Python语言，以《金融市场学》案例式实验教学作为研究个案并进行案例分析，按照“由易到难、循序渐进”的基本原则，借助具体金融场景实施案例导入，按基础和进阶两阶段，依次设计Python简介、NumPy模块、Pandas模块、Matplotlib模块、债券投资分析、股票投资分析、衍生品投资分析、组合投资分析八个章节实验教学方案，进而探索建立基于Python语言的《金融市场学》案例式实验教学课程体系。通过参与式观察、问卷、访谈等方式分析评价实验教学效果，并在此基础上提出大数据背景下基于Python语言的《金融市场学》案例式实验教学建议：一是要坚持分层渐进式教学，二是要坚持线上线下混合教学，三是要坚持理论与案例融合，四是要坚持过程化多元考核。

Abstract: Based on Python language, the case experiment teaching of “Financial Marketing” is taken as the research case and case analysis is carried out. In accordance with the basic principle of “from easy to difficult, step by step”, the case introduction is implemented with the help of specific financial scenarios, and the two stages are basic and advanced. Eight experimental teaching programs of Python introduction, NumPy module, Pandas module, Matplotlib module, bond investment analysis, stock investment analysis, derivative investment analysis and portfolio investment analysis were designed successively, and then a case experimental teaching course system of Financial Marketing based on Python language was explored. Through participatory observation, questionnaire, interview and other methods to analyze and evaluate the experimental teaching effect, and on this basis, put forward the Python-based “Financial Marketing” case experiment teaching suggestions under the background of big data: The first is to adhere to hierarchical and progressive teaching, the second is to adhere to online and offline mixed teaching, the third is to adhere to the integration of theory and case, and the fourth is to adhere to the process of multiple assessment.