程式設計與金融大數據分析

113學年第1學期 選修課 3 學分
授課大綱
70
名額
13
已選
57
餘額
上課時間
五/B,5,6[M332]
授課教師
Office Hour:Thursday 10:30-12:00 ( by appointment ) [M602]
修課班級
財金碩1,2 · 1年級以上
課程資訊
選課分析

Class Participation 20
In-class assignments 25
Midterm Exam 25
Final Report 30

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.

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.

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