CSC242
Fall 2018 - TR 1525-1640 - Wegmans 1400
Mon	Day	DOW	Special	Class	Lecture	Unit	Topic	AIMA	Project	Poole & Mackworth
8	30	R		1	0	Intro
9	4	T		2	1.1	Search	Problem Solving	3.0-3.3.1		3.1-3.4
9	6	R		3	1.2		Search Strategies	3.3.2-3.6		3.5-3.6
9	11	T		4	1.3		Adversarial Search	5.0-5.2.1		11.0-11.3
9	13	R		5	1.4		Adversarial Search 2	5.3-5.4.2; 5.5-5.6; 5.7-5.9 fyi
9	18	T		6	1.5		Local Search	4.0-4.1		4.7
9	20	R		7	1.6		Local Search 2	4.3-4.4; 4.2, 4.5 fyi
9	25	T		8			Exam		Project 1 due
9	27	R		9	2.1	Representation	Constraint Satisfaction	6.0-6.4		4.0-4.6
10	2	T		10	2.2		Propositional Logic	7.0-7.4		5.0-5.1
10	4	R		11	2.3		Propositional Inference	7.5		5.2-5.3
10	9	T		12	2.4		First-Order Logic	8.0-8.3; 8.1.1-8.1.2 fyi		13.0-13.3
10	11	R		13	2.5		First-Order Inference	9		13.4-13.5
10	16	T	Fall Break
10	18	R		14			Exam		Project 2 due
10	23	T		15	3.1	Uncertainty	Representing Uncertainty	13.0-13.2; 13.2.3 fyi		8.0-8.2
10	25	R		16	3.2		Uncertain Inference	13.3-13.6
10	30	T		17	3.3		Bayesian Networks	14.0-14.2, 14.4-14.4.3		8.3-8.4
11	1	R		18	3.4		Approximate Inference in Bayesian Networks	14.5; 14.7 fyi		8.6
11	6	T		19	3.5		Inference in Termporal Models	15.0-15.3		8.5
11	8	R		20			Exam		Project 3 due
11	13	T		21	4.1	Learning	Learning From Examples, Decision Trees	18.0-18.3, 18.4.0		7.0-7.3.1
11	15	R		22	4.2		Linear Regression and Linear Classifiers	18.6		7.3.2-7.4
11	20	T		23	TBD		TBD
11	22	R	Thanksgiving
11	27	T		24	4.3		Neural Networks	18.7-18.7.4		7.5
11	29	R		25	4.4		Learning Probabilistic Models	20.0-20.2.2; 20.2.5 fyi		10.3-10.3.1
12	4	T		26	4.5		Learning with Incomplete Data	20.3-20.3.4		10.3.2-10.3.3
12	6	R		27			Exam		Project 4 due
12	11	T		28	TBD		TBD
12	19	W					Final Exam: Wednesday, December 19, 0830