人工智能背景下“金融数据挖掘”PBL教学模式探索与实践

Exploration and Practice of PBL Teaching Mode of“Financial Data Mining”under the Background of Artificial Intelligence

大数据时代,人工智能与金融业的融合发展加快了金融科技的兴起,对金融工程专业人才培养提出更高要求,同时也对"金融数据挖掘"课程教学提出更高要求。基于此,该文在总结课程教学经验的基础上,提出金融数据挖掘PBL教学模式改革,在课程目标、教学内容、教学方法和课程评价等方面进行改革探索,提出问题解决策略,以适用人工智能时代金融科技对金融工程专业应用型人才培养的要求,提高金融工程专业学生的大数据分析和挖掘能力。

In the era of big data,the integration of artificial intelligence and financial industry accelerates the rise of financial technology,which puts forward higher requirements for the training of financial engineering talents and the teaching of the Financial Data Mining course.Based on this,this paper proposes the reform of PBL teaching mode of financial data mining on the basis of summarizing the teaching experience of the course.In this paper,reform and exploration are carried out in course objectives,teaching content,teaching methods and course evaluation,and problem-solving strategies are proposed,so as to meet the requirements of financial technology in the era of artificial intelligence for the cultivation of applied talents in financial engineering and improve the ability of data analysis and mining of financial engineering students.