人工智慧概論
Introduction to Artificial Intelligence
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 人工智慧概論 YL401 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
This course aims to build a core knowledge system of artificial intelligence (AI) for students majoring in the medical field, with a focus on its potential applications in modern medicine. Upon completion of this course, students will be able to: 1. Explain fundamental AI concepts and their historical development, emphasizing their relevance to medical applications. 2. Differentiate between key AI methodologies (e.g., machine learning, deep learning, NLP) and evaluate their suitability for different types of biomedical data. 3. Implement foundational AI models using Python to process, analyze, and visualize clinical datasets. 4. Design and propose an innovative AI application that addresses a specific clinical or biomedical challenge. 5. Articulate the capabilities, limitations, and ethical considerations of an AI medical application to both technical and clinical audiences.
Python
40% Homework 25% Midterm 25% Final Project 10% Participation
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Overview & What is AI |
| 第 2 週 | Supervised ML-1 |
| 第 3 週 | Supervised ML-2 |
| 第 4 週 | Unsupervised ML |
| 第 5 週 | Holiday |
| 第 6 週 | Holiday |
| 第 7 週 | Neural Networks and Deep Learning-1 |
| 第 8 週 | Neural Networks and Deep Learning-2 |
| 第 9 週 | Midterm |
| 第 10 週 | Convolutional Neural Networks-1 |
| 第 11 週 | Convolutional Neural Networks-2 |
| 第 12 週 | Sequence Models-1 |
| 第 13 週 | Sequence Models-2 |
| 第 14 週 | Generative AI 101-1 |
| 第 15 週 | Generative AI 101-2 |
| 第 16 週 | Final project presentation |
Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th Edition). Pearson.
- 地點
- 護理系館 3樓跨校區合作辦公室
- 時間
- Mon 10-12
- 聯絡方式
- Email聯繫