| 當期課號 | 2383 | Course Number | 2383 |
|---|---|---|---|
| 授課教師 | 吳世弘 | Instructor | WU,SHIH HUNG |
| 中文課名 | 人工智慧系統 | Course Name | Artifical Intelligent |
| 開課單位 | 資訊工程系(四日)三A | Department | |
| 修習別 | 選修 | Required/Elective | Elective |
| 學分數 | 3 | Credits | 3 |
| 課程目標 | 本課程目標在於使學生熟悉人工智慧重要觀念： 1.搜索策略 2.規劃推理方法 3.知識表示 4.學習 |
Objectives | The goal of this course is to learn following import concepts in artifical intelligence: 1. Searching Strategies 2. Planning Method 3. Knowledge Representation 4. Learning |
| 教材 | Artificial Intelligence: A Modern Approach (Second Edition) by Stuart Russell and Peter Norvig Publisher: Prentice Hall; 2nd edition (December 20, 2002) ISBN: 0137903952 新月圖書股份有限公司 |
Teaching Materials | Artificial Intelligence: A Modern Approach (Second Edition) by Stuart Russell and Peter Norvig Publisher: Prentice Hall; 2nd edition (December 20, 2002) ISBN: 0137903952 新月圖書股份有限公司 |
| 成績評量方式 | 1.Homework: 20% 2.Quiz: 15% 3.Midterm: 20% 4.Final Exam.: 25% 5. Project: 20% | Grading | 1.Homework: 20% 2.Quiz: 15% 3.Midterm: 20% 4.Final Exam.: 25% 5. Project: 20% |
| 教師網頁 | http://www.csie.cyut.edu.tw/~shwu | ||
| 教學內容 | *Introduction to AI, *Search: Breadth-First and Depth-First Search, Best-First, Greedy, Hill-Climbing, Simulated Annealing Search, *Soft computing: Genetic Algorithms, Neural Networks, Multi-Valued and Fuzzy Logic, *Logic: Propositional Logic, Propositional Resolution, First Order Logic, Resolution Proofs, *Knowledge Representation: Ontology Engineering, Natural Language |
Syllabus | *Introduction to AI *Search Breadth-First and Depth-First Search Best-First, Greedy, Hill-Climbing, and Simulated Annealing Search *Soft computing Genetic Algorithms Neural Networks Multi-Valued and Fuzzy Logic *Logic Propositional Logic, Truth Tables Propositional Resolution First Order Logic, Resolution Proofs *Knowledge Representation Ontology Natural Language |