人工智慧概論
Intro. to Artificial Intelligence
| 節 | 週二 | 週五 |
|---|---|---|
2 09:00–09:50 | 人工智慧概論 EC122（光復） | |
5 13:20–14:10 | 人工智慧概論 EC122（光復） 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
The goal is to introduce students to the basic concepts and methods of intelligent computer systems.
Programming Data Structures Some understanding of logic, set theory, probability theory, calculus, linear algebra
無備註
E3 platform
Programming assignments and projects: 50% * This includes 3 individual programming assignments and 1 group project. * Each assignment/project requires a written report. * The group project will involve a game tournament. Written homework: 5% Quizzes (2-4) and exams (x2): 45%
Basic Concepts of AI
Searching
Classical Searching Algorithms Searching and Optimization Heuristics Adversarial Search (Game Play) Constraint Satisfaction Problems
Learning
Classification and Regression Problems Decision Trees Neural Networks Generalization Reinforcement Learning Basics of Unsupervised Learning
Logic and Reasoning
Propositional and First-Order Logic Logical Inference Reasoning with Uncertainty
教師未提供此項資料
Artificial Intelligence: A Modern Approach (3rd ed.) by Russel and Norvig
- 地點
- EC709
- 時間
- 2DX or by appointment
- 聯絡方式
- 56689 wangts@cs.nctu.edu.tw