Date	Topic	Notes	Reading	Due Today	Slides
Aug 25	Introduction and course overview	HW 0 assigned	Chapter 1		Lecture 1
Aug 27	Introduction to AI applications				Lecture 2
Aug 29	Search in AI			HW 0	Lecture 3
Sept 1		No class: Labor day
Sept 3	Problem solving as search		Chapter 3		Lecture 4
Sept 5	Heuristic search	HW 1 assigned, HW1 solutions			Lecture 5
Sept 8	Heuristic search (cont)		Chapter 4		Lecture 6
Sept 10	Local search				Lecture 7
Sept 12	Constraint satisfaction		Chapter 5	HW 1	Lecture 8
Sept 15	CSPs (cont)				Lecture 9
Sept 17	Adversarial search		Chapter 6		Lecture 10
Sept 19	Intro to IR	HW 2 assigned			Guest Lecture
Sept 22	Adversarial search (cont)				Lecture 11
Sept 24	Probability and uncertainty		Chapter 13		Lecture 12
Sept 26	Probability (cont)				Lecture 13
Sept 29	Representing uncertain knowledge		Chapter 14	HW 2	Lecture 14
Oct 1	Bayesian networks				Lecture 15
Oct 3	Reasoning with uncertain knowledge	HW 3 assigned, HW3 solutions			Lecture 16
Oct 6	Exact inference algorithms				Lecture 17
Oct 8	Approximate inference algorithms				Lecture 18
Oct 10	Approximate inference algorithms (cont)			HW 3	Lecture 19
Oct 13		No class: Oct break
Oct 15	Learning as search		Chapter 18		Lecture 20
Oct 17	Learning CPDs				Lecture 21
Oct 20	Midterm review	Review notes			Review
Oct 22	Midterm: 8-10pm UNIV 317	No class; Midterm solutions
Oct 24		No class
Oct 27	Invited speaker: Leslie Kaelbling	No class; go to DLS at 3:30pm
Oct 29	Classification trees	HW 4 assigned	Chapter 20		Lecture 22
Oct 31	Trees (cont)				Lecture 23
Nov 3	Overfitting and evaluation				Lecture 24
Nov 5	Learning conditional probability distributions				Lecture 25
Nov 7	Learning joint probability distributions			HW 4	Lecture 26
Nov 10	Learning JPDs (cont)				Lecture 27
Nov 12	Learning pathologies				Lecture 28
Nov 14	Representing certain knowledge	HW 5 assigned, HW5 solutions	Chapter 7		Lecture 29
Nov 17	Propositional logic				Lecture 30
Nov 19	Reasoning with propositional logic		Chapter 8		Lecture 31
Nov 21	First-order logic				Lecture 32
Nov 24	Logical inference		Chapter 9	HW 5	Lecture 33
Nov 26		No class: Thanksgiving
Nov 28		No class: Thanksgiving
Dec 1	Logical inference (cont)	HW 6 assigned, HW6 solutions			Lecture 34
Dec 3		Class cancelled
Dec 5	Learning with logic				Lecture 35
Dec 8	Representing logic and probabilities			HW 6	Lecture 36
Dec 10	Reasoning with logic and probabilities				Lecture 37
Dec 12	Final review	Review notes 2			Review 2