人工智能导论, 2026

南京大学，智能科学与技术学院

授课教师: Lan-Zhe Guo (郭兰哲)
联系方式: guolz@nju.edu.cn. 欢迎大家随时对课程提出问题或建议😀😀
上课地点: 周一 3-4节（10:10-12:00 AM）, 馆3-103
参考书籍: 《人工智能：现代方法》（第四版）
课程QQ群: 1087827042

每周开放办公室交流，可以交流课程、学业、生活等各方面的问题，提前约时间线上会议即可~

Course Calendar

Week	Date	Lecture	Textbook	Further Reading	Homework	Project
1	Monday Mar 02	1. Introduction Slides	AIMA 1.1-1.3	1. Computing Machinery and Intelligence by Alan Turing 2. 自动定理证明兴衰纪	-	Project 0 [optional]
2	Monday Mar 09	2. Uninformed Search Slides	AIMA 3.1-3.4	1. Tree-of-Thoughts	Homework 1 Due: 04.26	Project 1 Due: 04.06
3	Monday Mar 16	3. Informed Search Slides	AIMA 3.5-3.6	1. search_algorithms.ipynb 2. 课堂练习可视化演示
4	Monday Mar 23	4. Local Search Slides 5. Adversarial Search Slides	AIMA 5.1-5.4	1. ChinaTravel 2. Symbolic Regression Tutorial 3. AlphaEvolve 4. Alpha-Beta习题演示 5. Local_Search.ipynb		Project 2 Due: 04.30
5	Monday Mar 30	6. Adversarial Search II Slides	蒙特卡洛树搜索白板手推	如何做研究与写论文
6	Monday Apr 06	清明节假期，停课一周~
7	Monday Apr 13	7. Machine Learning Preliminary Slides 8. Statistical Machine Learning Slides	西瓜书对应章节	1. Sklearn 2. K-Means图像压缩代码演示 3. 西瓜数据集分类代码演示	Homework 2 Due: 05.20	-
8	Monday Apr 20	9. Neural Networks and Deep Learning Slides	动手学深度学习 3-4 章	人物 | Geoffrey Hinton的成功之路：从神经网络黑暗时代的坚守到今天的胜利		Project 3 Due: 05.15
9	Monday Apr 27	10. Convolutional Neural Network Slides	动手学深度学习 6-7 章	MNIST手写数字识别演示代码
10	Monday May 04	五一劳动节停课一周~祝大家假期愉快！
11	Monday May 11	11. Reinforcement Learning Slides	动手学强化学习 简介部分	Sutton播客	Homework 3 Due: 06.10	Project 4 Due: 06.07
12	Monday May 18	12. Reinforcement Learning II Slides	动手学强化学习 DQN算法	Lecun播客
13	Monday May 25	13. Reasoning & Planning (Symbolic AI) Slides	1. Z3 Solver 2. Planning	The Symbolic Grounding Problem	Homework 4 Due: 06.30	Project 5 Due: 06.28
14	Monday June 01	14. Reasoning & Planning (LLM) Slides	1. LLM Reasoning Survey	-
15	Monday June 08	15. Agent Slides	-	1. Agentic RL Survey 2. Agentic Reasoning Survey 3. Skill Survey
16	Monday June 15	16. Summary Slides	-	-	-