113年第1學期-6020 程式設計與金融大數據分析 課程資訊

評分方式

評分項目	配分比例	說明
Class Participation	20
In-class assignments	25
Midterm Exam	25
Final Report	30

教育目標

This course provides an in-depth exploration of financial technology (FinTech) and artificial intelligence (AI) programming in the context of the finance industry. Students will learn essential programming skills in Python and how to apply them to various financial tasks such as data visualization, web scraping, machine learning, and deep learning. The course covers topics such as data preprocessing, supervised and unsupervised learning techniques, natural language processing (NLP), and text analysis. By the end of the course, students will have the knowledge and skills to analyze financial data using AI-related techniques.

基本資料

選修課，學分數：3-0
上課時間：五/B,5,6[M332]
修課班級：財金碩1,2
修課年級：1年級以上
選課備註：

參考書目

1. AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning 1st Edition, Tobias Zwingmann (Author), 2022.

2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition, Geron Aurelien (Author), 2019.

3. Machine Learning For Absolute Beginners, Oliver Theobald (Author), 2017.