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 電機工程學研究所 |
授課教師 |
林 澤 |
課號 |
EE5183 |
課程識別碼 |
921EU2610 |
班次 |
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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 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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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 |
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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 |
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評量方式 (僅供參考) |
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