人工智慧概論
Intro. to Artificial Intelligence
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 人工智慧概論 EC122 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Welcome to the Introduction to Artificial Intelligence! In recent years, we have witnessed tremendous progress in artificial intelligence (AI). For example, chatGPT can answer sophisticated questions specified by users. Stable diffusion can generate novel images that expert designers may be unable to draw. It seems that existing algorithms can do lots of incredible things. Have we solved the ultimate pursuit of AI? Are these amazing artifacts AI? What are the new challenges in AI? Please sign up for this course if interested in diving into this field! The intended learning outcomes of this course are - List existing definitions of artificial intelligence - Identify problems in the field of artificial intelligence - Explain selected algorithms for the identified problems - Apply the learned algorithms to solve problems - Develop your solution for a problem - Identify new challenges in artificial intelligence
Prerequisites: Programming, Linear Algebra, Algorithm, and Probability
Homework: 60% - 5 programming assignments (12% each) - HW1: Supervised learning - HW2: A* search for route planning - HW3: Adversarial search in Pacman - HW4: Reinforcement learning - HW5: Applications of Large Language Models Class Participation (proactively engage in class discussions): 7% Final Project: 33% - A 15-minute recorded presentation - Top-rated groups will be selected for the AI workshop
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Artificial Intelligence |
| 第 2 週 | Machine Learning I |
| 第 3 週 | Machine Learning II |
| 第 4 週 | Machine Learning III |
| 第 5 週 | Machine Learning IV |
| 第 6 週 | Problem Solving by Searching |
| 第 7 週 | Adversarial Search |
| 第 8 週 | Markov Decision Process |
| 第 9 週 | Reinforcement Learning |
| 第 10 週 | 3D Computer Vision for Robot Navigation |
| 第 11 週 | 3D Computer Vision for Robot Navigation |
| 第 12 週 | Machine Learning for Robot Navigation |
| 第 13 週 | Language-guided Intelligent Systems |
| 第 14 週 | Language-guided Intelligent Systems |
| 第 15 週 | AI Applications: Guest Speaker |
| 第 16 週 | AI Applications: Guest Speaker |
| 第 17 週 | |
| 第 18 週 |
Slides, papers, and online resources Artificial Intelligence: A Modern Approach (4th Ed., 2003) by Russell & Norvig
- 地點
- EC336
- 時間
- By appointment