*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 |