课程号：CS206003

课程名：金融科技中的人工智能

英文课程名：Artificial intelligence in FinTech

开课单位：计算机科学与技术学院

授课教师：Henry Han

责任教师：刘西洋   覃桂敏

学分/学时：1学分/16学时

教师简介：Henry Han是Fordham University 计算机和信息科学系教授，大数据分析实验室主任。于2004年在the University of Iowa 获得博士学位，当前研究方向为数据科学、大数据、生物信息学、健康科学、金融科技和网络安全，发表相关论文80多篇，Henry Han is Professor of computer science in the Department of computer and information science at Fordham University. He is the director of the laboratory of big data and analytics. He earned his Ph.D. from the University of Iowa in 2004. His current research interests include data science, big data, bioinformatics/health informatics, fintech, and cybersecurity. He published nearly 80 papers in leading journals and conferences in data science fields. He was the founding director of Fordham University’s master program in cybersecurity besides department associate chair. He has supervised about a total of 60 Ph.D., master and undergraduate students since 2005. His research has been supported by NSF, NIH, and research contracts from the industry.

课程简介：介绍人工智能技术在金融领域的应用, 主要内容：金融科技背景知识；金融数据的获取,基本可视化和分析；经典金融模型；融科技中的机器学习； 证劵机器学习分析； 信用风险评估；高频交易数据分析； 深度学习模型在加密货币中的应用。

Applications of AI in FinTech. Including Background knowledge in fintech; Financial data acquisition, basic visualization, and analysis; Classic financial models; Machine learning in Fintech; Security volatility and implied volatility analytics; Credit risk scoring; High-frequency trading (HFT) data analytics and trading marker prediction, and Deep learning models in cryptocurrency price discovery.

先修课程：计算机编程基础 (如python)，微积分和线性代数等数学基础