DATE TOPICS REQUIRED OPTIONAL PROBLEM SETS
09/05 Wed Introduction to AI
09/10 Mon Uninformed search C 3.1 - 3.4
09/12 Wed Informed search C 3.5 - 3.6
09/17 Mon Informed search: A*
09/19 Wed Constraint Satisfaction Problems C 6
09/24 Mon Local Search C 4.1 C 4.2 - 4.6, C 5
09/26 Wed TEST 1
10/01 Mon Propositional Logic 1 C 7
10/03 Wed Invited speaker Deadline Problem Set 1
10/09 Tue Propositional Logic 2
10/10 Wed First-order Logic 1 C 8
10/15 Mon First-order Logic 2 C 9
10/17 Wed Probability Theory C 13
10/20 Sat Deadline Problem Set 2
10/22 Mon Probabilistic reasoning    
10/24 Wed TEST 2  
10/29 Mon Bayes networks C 14
10/31 Wed Markov Models C 15 C 16, 17
11/05 Mon Hidden Markov Models
11/06 Tue Deadline Problem Set 3
11/07 Wed TEST 3
11/14 Wed Learning by examples C 18.1 - 18.6
11/19 Mon Artificial Neural Networks C 18.7 C 19, 20, 21
11/23 Tue Deadline Problem Set 4
11/26 Mon Reinforcement Learning C 21
11/28 Wed Rational agents C 2
12/03 Mon Acting in the real world C 10, 11
12/05 Wed Cognitive architectures
12/10 Mon Ethics in AI and conclusion C 26, 27 Deadline Problem Set 5
12/13 Thu* TEST 4