Artificial Intelligence Course

1. Introduction
2. Intelligent Agents
3. Solving Problem by Searching
4. Beyond Classical Search
5. Adversarial Search
6. Constraint Satisfaction Problems
7. Logical Agents
8. First-Order Logic
9. Inference in First-Order Logic
10. Classical Planning
11. Planning and Acting in the Real World 
12. Knowledge Representation
13. Quantifying Uncertainty
14. Probabilistic Reasoning over Time
15. Making Simple Decisions
16. Making Complex Decisions
17. Learning from Examples
18. Knowledge in Learning
19. Learning Probabilistic Models
20. Reinforcement Learning
21. Natural Language Processing
22. Natural Language for Communication
23. Perception
24. Robotics
25. Philosophical Foundations
26. AI: The Present and Future