《金融数据挖掘》课程简介（本科）.docx

金融数据挖掘课程简介课程英文名Financial Data Mining课程代码I0203Y12学分2.5总学时40理论学时28实验/实践学时12先修课程概率论与数理统计适用专业金融工程、数学与应用数学内容简介 （中文）金融数据挖掘课程重点讲解几种重要的数据挖掘方法，内容包回归、分类、聚 类、降维等多种监督学习和无监督学习方法，使学生掌握如何利用计算软件分析数 据、解决问题、完成相关研究。通过本课程的学习和相关软件的使用，使学生了解 数据分析和数据挖掘在金融领域的重要运用，使之能够利用所学到的数据分析与数 据挖掘方法开展金融领域的应用研究，并有进一步学习的基础与能力。内容简介 （英文）The course of financial data mining focuses on several important data mining methods, including multiple supervised learning and unsupervised learning methods such as regression, classification, clustering and dimensionality reduction, so as to make students master how to use computing software to analyze data, solve problems and complete related research. Through the study of this course and the use of related software, students can understand the important application of data analysis and data mining in the financial field, and make it possible to use the data analysis and data mining methods learned to carry out the application research in the financial field, and have the foundation and ability to further study.执笔人审定人制定时间2018年05月