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 |
選課分析
本課程名額為 70人,已有18 人選讀,尚餘名額52人。
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授課教師
黃尹姿教育目標
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.
課程資訊
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:
教師與教學助理
授課教師:黃尹姿
大班TA或教學助理:尚無資料
Office HourThursday 10:30-12:00 ( by appointment ) [M602]
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
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.
開課紀錄
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