The tentative schedule for the class is as follow:

DATE	TOPICS	REQUIRED	OPTIONAL
	JANUARY
18 WED	Introduction to AI	C1
23 MON	Rational agents	C2
25 WED	Behavior Trees
	Assignment A1 Behavior Trees released
30 MON	Uninformed search	C 3.4
	FEBRUARY
01 WED	Informed search 1	C 3.5 - 3.6
06 MON	Informed search 2
08 WED	Constraint Satisfaction Problems	C 6
	Assignment A1 Behavior Trees deadline
	Assignment A2 Informed Search released
13 MON	Local Search	C 4.1	C 4.2 - 4.6, C 5
15 WED	Test 1 - 6:00-7:15 PM Joyce Cummings Center 180
20 MON	NO CLASS
22 WED	Propositional logic 1	C 7
	Assignment A2 Informed Search deadline
	Assignment A3 Genetic Algorithms released
23 THU	Propositional logic 2
27 MON	First-order logic 1	C 8
	MARCH
01 WED	First-order logic 2	C 9
06 MON	Probability theory 1	C 12
08 WED	Probability theory 2
	Assignment A3 Genetic Algorithms deadline
	Assignment A4 Constraint Satisfaction Problems released
13 MON	Test 2 - 6:00-7:15 PM Joyce Cummings Center 180
15 WED	Bayes networks 1	C 13
20 MON	NO CLASS
22 WED	NO CLASS
27 MON	Bayes networks 2
	Assignment A5 Naive Bayesian Classification released
29 WED	TBA
30 THU	Assignment A4 Constraint Satisfaction Problems deadline
	APRIL
03 MON	Markov models 1	C 14	C 15, 16
05 WED	Markov models 2
10 MON	Learning by example	C 19.1 - 19.3
12 WED	Artificial neural networks 1	C 21.1	C 21.2 - 21.8
	Assignment A5 Naive Bayesian Classification deadline
	Assignment A6 Artificial Neural Networks released
17 MON	NO CLASS
19 WED	NO CLASS
21 FRI	Artificial neural networks 2
24 MON	Clustering	C 20
26 WED	Cognitive architectures
	MAY
01 MON	Ethics in AI / Conclusion	C 27, 28
	Assignment A6 Artificial Neural Networks deadline
12 FRI	Test 3 - 3:30-5:15 PM Joyce Cummings Center 180