課程資訊
課程名稱
金融科技
Financial Technology 
開課學期
110-1 
授課對象
電機資訊學院  電信工程學研究所  
授課教師
林澤 
課號
EE5183 
課程識別碼
921EU2610 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期二7,8,9(14:20~17:20) 
上課地點
電二143 
備註
本課程以英語授課。
總人數上限:60人 
課程網頁
 
課程簡介影片
 
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課程概述

Financial technology (Fintech) is a broad category that refers to the innovative use of technology in the design and delivery of financial services and products. While many technology innovations play important parts in revolutionizing financial services, this course focuses on deep learning (DL) and its applications in FinTech. Deep learning is form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts with a deep representation of many layers. It has been proven to be highly successful in predictive tasks for applications such as computer vision and natural language processing. In this course, we hope to demonstrate how DL can be applied to achieve superior predictive performance in FinTech applications. 

課程目標
In this course, we will first provide an overview of how deep learning revolutionizes the financial industry. We will then provide basics for machine learning (ML) and DL. Finally, we will provide several case studies on how to apply ML/DL to solve real-world FinTech problems. Students are expected to learn how to apply ML/DL algorithms in FinTech applications via completing programming homework and final project. 
課程要求
Basic python programming skills 
預期每週課後學習時數
 
Office Hours
另約時間 
參考書目
1. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courville
2. "Advances in Financial Machine Learning" by Lopez de Prado, Marcos 
指定閱讀
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
no 
100% 
 
 
課程進度
週次
日期
單元主題
無資料