• Syllabus
• Office Hours:
  • Prof. Sturtevant: M 2-3, Th 1-2
  • TA Zach Azar: Tu/Th 10-12
• Assignments:
  • Graduate Student Course Project
  • Undergraduate Extra Credit
  • Homework #1
  • Homework #2 (Due May 7)
  • Homework #3 (Due May 19)
  • Homework #4 (Due May 31)
• Other:
  • Midterm Review Sheet
  • Final Review Sheet

Class	Date	Topic	Reading	Homework (Complete before class)
1	March 24	Introduction	Ch 1-2	Ch 1: 1.11, 1.12, 1.13
2	March 26	Search	Ch 3	Ch 3: 3.14
3	March 31	Local Search	Ch 4	4.3 (describe approach; do not implement) (optional)
4	April 2	Game Playing / Adversarial Search	Ch 5	5.18 (due before class)
5	April 7	Constraint Satisfaction Problems	Ch 6	6.9 (due before class)
6	April 9	Propositional Logic	Ch 7	7.2 (due before class)
7	April 14	Inference Algorihms, First Order Logic	Ch 7, 8	7.14(a) (due before class)
8	April 16	First Order Logic	Ch 8	8.10 (due before class)
9	April 21	Inference in First Order Logic + MT Review	Ch 9	9.10 (due before class)
10	April 23	Midterm		-
11	April 28	Classical Planning	Ch 10	10.2 (due before class)
12	April 30	Uncertainty	Ch 13	13.8 (due before class)
13	May 5	Bayesian Networks	Ch 14	14.4 (due before class)
14	May 7	Learning: Decision Trees	Ch 18.1-18.3	18.1
15	May 12	Learning: Regression & Neural Networks	Ch 18.6, 18.7	18.22a, b
16	May 14	Reinforcement Learning	Ch 17.1-3, 21	17.1 (first part)
17	May 19	Robotics	Ch 25	25.3
18	May 21	Natural Language Processing	22	22.5
-	May 26	(Holiday)
19	May 28	Wrap-Up