| | Lecture Topic
| Readings in AIMA | Assignments |
| Aug | 30 | Introduction, history
| Chapter 1 | A0 (Lisp) |
| Sep | 1 | Intelligent agents
| Chapter 2 | |
| | 6 | Problem solving, uninformed search
| Chapter 3 | |
| | 8 | A* search and heuristic functions
| Chapter 4.1-4.2 | A0 due, A1 (Search) |
| | 13 | Local and online search
| Chapter 4.3-4.5 | |
| | 15 | Constraint satisfaction
| Chapter 5.1-5.2 | |
| | 20 | Constraint satisfaction contd.
| Chapter 5.3-5.4 | A1 due, A2 (Search, CSPs) |
| | 22 | Game-playing
| Chapter 6 | |
| | 27 | Logical agents; propositional logic
| Chapter 7.1-7.4 | |
| | 29 | Inference in propositional logic
| Chapter 7.5-7.7 | |
| Oct | 4 | First-order logic
| Chapter 8.1-8.3 | |
| | 6 | Actions in first-order logic; inference
| Chapter 10.3, Chapter 9.1-9.2 | A2 due (10/9), A3 (Logic) |
| | 11 | Inference contd., logic programming
| Chapter 9.3-9.5 | |
| | 13 | Planning
| Chapter 11.1-11.3 | A3 due (10/16) |
| | 18 | Midterm
| | |
| | 20 | Probability theory
| Chapter 13 | |
| | 25 | Bayesian networks
| Chapter 14.1-14.3 | A4 (Probability, Bayes nets) |
| | 27 | Inference in Bayesian networks
| Chapter 14.4-14.5 | |
| Nov | 1 | Temporal probability models, speech recognition
| Chapter 15.1-15.6 | |
| | 3 | Rational decisions
| Chapter 16.1-16.3, 16.4-16.6 | A4 due (11/4), A5 (Bayes net inference) |
| | 8 | Sequential decisions
| Chapter 17.1-17.4 | |
| | 10 | Decision tree learning
| Chapter 18.1-18.3 | |
| | 15 | Statistical learning
| Chapter 20.1-20.3 | |
| | 17 | Neural networks
| Chapter 20.5 | |
| | 22 | Reinforcement learning
| Chapter 21.1-21.4 | |
| | 24 | Thanksgiving
| | |
| | 29 | Natural language communication and syntax
| Chapter 22.1-22.3 | A5 part 2 due (11/28), A6 (Reinforcement learning) |
| Dec | 1 | Natural language semantics
| Chapter 22.5-22.7 | |
| | 6 | Robotics
| Chapter 24 | |
| | 8 | Philosophical issues
| Chapter 25.1-25.4 | A6 due (12/12) |
| | 19 | Final (12.30pm - 3.30pm)
| | Location TBD |