Type of Credit: Elective
Credit(s)
Number of Students
能力項目說明
教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
---|---|---|
[Week 1] Artificial Intelligence, Machine Learning and Deep Learning
[Week 2] Introduction to Generative Pre-trained Transformer (GPT)
[Week 3] 中秋節放假
[Week 4] Chap 1 Introduction of Artificial Intelligence
[Week 5] Chap 2 Intelligent Agents
[Week 6] Student presents GPT applications
[Week 7] Chap 3 Solving Problems by Searching (1/2)
[Week 8] Chap 3 Solving Problems by Searching (2/2)
[Week 9] Lab
[Week 10] Chap 4 Search in Complex Environments (1/3)
[Week 11] Chap 4 Search in Complex Environments (2/3)
[Week 12] Chap 4 Search in Complex Environments (3/3)
[Week 13] Chap 6 Adversarial Search and Games (1/3)
[Week 14] Chap 6 Adversarial Search and Games (2/3)
[Week 15] Chap 6 Adversarial Search and Games (3/3)
[Week 16] Chap 7 Logical Agents (1/2)
[Week 17] Chap 7 Logical Agents (2/2)
[Week 18] Lab and program assignments due and review
附註:
課程內容與指定閱讀:上課投影片
教學活動與作業:[Week 1-16]老師授課&學生報告,[Week 17-18] 彈性補充教學
學習投入時數(含課堂及課程前後):3小時 (4.5小時)
1. Artificial Intelligence: A Modern Approach (4th Edition) by Stuart Russell and Peter Norvig, 2022.