| Lecture | Topic
| Readings in AIMA |
| 1 | introduction, history
(ps, pdf, tex)
| Chapter 1 |
| 2 | intelligent agents
(ps, pdf, tex)
| Chapter 2 |
| 3 | intelligent agents, AIMA software
| |
| 4 | uninformed search
(ps, pdf, tex)
| Chapter 3 (except CSPs) |
| 5 | informed search
(ps, pdf, tex)
| Chapter 4 (except CSPs) |
| 6 | constraint satisfaction
(ps, pdf, tex)
| Sections 3.7, 4.2, 4.4 |
| 7 | game-playing
(ps, pdf, tex)
| Chapter 5 |
| 8 | logical agents, propositional logic
(ps, pdf, tex)
| Chapter 6 |
| 9 | first-order logic
(ps, pdf, tex)
| Chapter 7 |
| 10 | inference in first-order logic
(ps, pdf, tex)
| Chapter 9 |
| 11 | resolution, logic programs
(ps, pdf, tex)
| |
| 12 | planning
(ps, pdf, tex)
| Chapter 11 |
| 13 | planning, plan execution
(ps, pdf, tex)
| Chapter 13 |
| 14 | uncertainty, probability
(ps, pdf, tex)
| Chapter 14 |
| 15 | belief networks
(ps, pdf, tex)
| Chapter 15.1 - 15.2 + new material |
| 16 | belief network inference
(ps, pdf, tex)
| Chapter 15.3 - 15.5 + new material |
| 17 | optimal decisions under uncertainty
(ps, pdf, tex)
| Chapter 16 |
| 18 | optimal sequential decisions
(ps, pdf, tex)
| Chapter 17.1 - 17.3 |
| 19 | learning
| Chapter 18 |
| 20 | neural networks
| Chapter 19.1 - 19.5 |
| 21 | Bayesian learning
| Chapter 19.6 |
| 22 | natural language processing
| Chapter 22 |
| 23 | natural language processing contd.
| |
| 24 | perception/vision
| Chapter 24 |
| 25 | perception/vision
| |
| 26 | robotics
| Chapter 25 |
| 27 | robotics
| |
| 28 | philosophical foundations
| Chapters 26 and 27 |