Watsonx.ai 在量化金融的應用(IBM X 中山大學合作課程)

開課單位

教務處

授課教師

國金學院彭聰敏助理教授

時數

2

學分

0.1

課程場次

其他報名

https://forms.gle/8n95SBhzmZ7xXYGe9

地點

國際金融學院(高雄85國際大樓33樓)

人數限制

20

課程目標

Integrate quantitative financial model with Watsonx.ai and explore the possible collaborative product.

課程內容

Finance itself is entering a new era, and two major forces are driving this evolution.
The first is the programmatic access to basically all the financial data available—in general, this happens in real time and is what leads to data-driven finance. The second major force is the increasing importance of AI in finance. More and more financial institutions try to capitalize on ML and DL algorithms to improve operations and their trading and investment performances.
This module is designed to lead students embrace the new era by introducing the quantitative investing and trading strategy in an advance level. Technical investment strategy is introduced at the beginning to bridging students’ understanding with quantitative investment. Then we focus on the quantitative investment model, such as single factor model, multiple factor model, with ML and DL algorithms. Python is adopted to introduce both technical and quantitative analysis from practitioner point as it is the right programming language and ecosystem to tackle the challenges of this era of finance. This module covers basic ML algorithms for unsupervised and supervised learning (as well as deep neural networks, for instance) with Python’s data processing and analysis capabilities. To fully account for the importance of AI in finance—now and in the future—more than one course treatment is definitely necessary. However, most of the AI, ML, and DL techniques require such large amounts of data that mastering data-driven finance should come first anyway.

限修條件

IBM 課程（AI新世代：從應用創新到未來職場力）須完整參與，共計 6 小時。

參考/指定用書

無

聯絡資訊

聯絡人:王苡晴

信箱:sunny917@mail.nsysu.edu.tw

電話:2162

備註

•須同時完成 IBM 課程 + 至少一門中山合作課程。
•名額限 20 名，依報名順序錄取，額滿即止（另設備取名額）。
•若缺課或時數不足，將不予認列學分。