人工智慧
Artificial Intelligence
學期
112-2
學分
3
學分
當期課號
910171
永久課號
SESE20001
開課單位
系統工程與科技學士學位學程
授課教師
系統工程
類別
選修
上課時間表
| 節 | 週二 |
|---|---|
A 18:30–19:20 | 人工智慧 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
概述
『未來將不會有任何現代產業與人工智慧(AI)無關』,國防科技更需要AI的人才來驅動,無論是無人駕駛,影像識別,甚而資訊安全等領域與技術。本課程將就老師在學術研究與業界(鴻海)推動AI的實務經驗,從理論與實務兩方面引領同學進入「The AI World」,希望對同學未來的工作與研究有所助益。
先修科目
無
評分方式
課程參與 10% 作業 20% 期中考 30% 期末報告 40%
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | week1:Introduction: AI and Its Applications |
| 第 2 週 | week2:Intelligent Agents |
| 第 3 週 | week3:Solving Problem by Search |
| 第 4 週 | week4:Advanced Search Algorithms |
| 第 5 週 | week5:Constraint satisfaction problem (CSP) |
| 第 6 週 | week6:Adversarial search (AlphaGo and Game Playing) |
| 第 7 週 | week7:Learning from Observations |
| 第 8 週 | week8:Logical agents |
| 第 9 週 | week9:Midterm |
| 第 10 週 | week10:Planning |
| 第 11 週 | week11:Genetic Algorithms and Genetic Programming |
| 第 12 週 | week12:Neural Networks and Deep Learning |
| 第 13 週 | week13:Final Report (I) |
| 第 14 週 | week14:Final Report (II) |
| 第 15 週 | week15:Other meta-heuristics |
| 第 16 週 | week16:Reinforcement learning week17:Generative Artificial Intelligence week18:AI: Philosophy, Ethics, and Future |
教科書
教科書 Artificial Intelligence A Modern Approach. Prentice-Hall, 4th edition, Stuart Russell and Peter Norvig 參考書 Artificial Intelligence: A Guide to Intelligence Systems. Addison-Wesley 2. M. Negenevit