| 週次 |
授課內容 |
| 第1週 |
9/12 Course Overview and Introduction to Artificial Intelligence |
| 第2週 |
9/19 Python Basic Tutorial |
| 第3週 |
9/26 Exploratory Data Analysis |
| 第4週 |
10/3 Introduction to Machine Learning |
| 第5週 |
10/10 Holiday |
| 第6週 |
10/17 Data Preprocessing, Imbalanced Data, Model Performance Evaluation |
| 第7週 |
10/24 Holiday |
| 第8週 |
10/31 Artificial Neural Networks |
| 第9週 |
11/7 Final Project Proposal & Discussion |
| 第10週 |
11/14 Midterm Exam |
| 第11週 |
11/21 Computer Vision and Convolutional Neural Networks I |
| 第12週 |
11/28 Computer Vision and Convolutional Neural Networks II |
| 第13週 |
12/5 Natural Language Processing and Recurrent Neural Networks |
| 第14週 |
12/12 Large Language Models and Prompt Engineering |
| 第15週 |
12/19 Final Project Presentation |
| 第16週 |
12/26 Final Project Presentation |
自主學習 內容 |
Python online practice: Codecademy |