人工智慧概論(英文授課)
Intro. to Artificial Intelligence
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 人工智慧概論(英文授課) EDB27（光復） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
In this course, you will learn the foundational principles that drive existing AI applications and practice implementing some of these systems.
Prerequisites: Programming, Linear Algebra, Algorithm, Probability
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Homework: 60% Final Project: 40%
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| 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 | Problem Solving by Searching |
| 第 5 週 | Adversarial Search |
| 第 6 週 | Markov Decision Process |
| 第 7 週 | Reinforcement Learning |
| 第 8 週 | Constraint Satisfaction Problems |
| 第 9 週 | Bayesian Networks |
| 第 10 週 | Knowledge, Reasoning, and Planning |
| 第 11 週 | 3D Computer Vision |
| 第 12 週 | Robot Navigation |
| 第 13 週 | Self-Driving Systems |
| 第 14 週 | Robot Manipulation |
| 第 15 週 | AI Applications: Guest Speaker |
| 第 16 週 | AI Applications: Guest Speaker |
Slides, papers, and online resources Artificial Intelligence: A Modern Approach (4th Ed., 2003) by Russell & Norvig
- 地點
- EC336
- 時間
- Tuesday 3:30pm-5:00pm
- 聯絡方式
- 教師未提供此項資料