Class 
Date 
Topic 
Reading 
Homework 
Comments 
1  Th 8/30  Course overview; What is AI?  Ch. 1; Lisp Ch. 1; McCarthy paper  HW1(PW) out  Lisp "cheat sheet"
Survey Slides 
2  Tu 9/3  Agents/Lisp  Ch. 2; Lisp Ch. 23; Graham article  Survey due  Slides 
3  Th 9/5  Problem solving as search; Lisp  Ch. 3.13.3; Lisp Ch. 45, App. A  Slides  
4  Tu 9/10  Uninformed search  Ch. 3.4  Slides


5  Th 9/12  Informed search  Ch. 3.53.7, Lisp Ch. 7  HW1 due; HW2(PW) out 
Slides 
6  Tu 9/17  Local search, genetic algorithms  Ch. 4.14.2 
Slides


7  Th 9/19  Constraint satisfaction  Ch. 6; Vipin Kumar, "Algorithms for Constraint Satisfaction Problems: A Survey"  Slides  
8  Tu 9/24  Game playing  Ch. 5  Slides


9  Th 9/26  Game theory  Slides  
10  Tu 10/1  Knowledgebased agents; start propositional logic  Ch. 7.17.3  Slides  
11  Th 10/3  Propositional logic  Ch. 7.47.8, 8  Slides  
13  Tu 10/08  Firstorder logic, Logical inference  HW2 Due; HW3 out, Project out, Project teams formed 
FOL,Inference  
14  Th 10/10  Logical inference, continued; knowledge representation  Ch. 12.112.2, 12.512.6  Slides  
15  Tu 10/15  Philosophy and history of AI 
Turing article Searle article Summary of Kurzweil's book Kevin Kelly's critique 

16  Th 10/17  Midterm Review Day  Extra credit HW3 due;  
17  Tu 10/22  MIDTERM (covers material through class #14) 
Full credit homework 3 due, Project
Description, Homework 4 Out 

19  Th 10/24  Midterm PostMortem  
20  Tu 10/29  Planning  Ch. 13  Slides  
21  Th 10/29  Partialorder planning and Probabilistic reasoning  Project design due, HW 4 Due  Slides  
22  Th 11/5  Lost to Max having the plague  
23  Tu 11/12  Bayes Nets  Ch. 14.114.4  HW5 out  Slides 
24  Th 11/14  Machine Learning I: Decision Trees  Ch. 18.118.4  Slides  
25  Tu 11/19  Machine learning II: Knearest neighbor, naive Bayes, learning Bayes nets  Ch. 20.120.2  Slides


25  Th 11/21  Reinforcement learning  Ch. 21.121.3  Slides  
26  Th 11/26 
Reinforcement learning #2?  HW5 Due,HW6 OutProject Interface  (Slides: see 11/27)  
27  Tu 12/3  Probabilistic planning  Ch. 15.115.2, 16.116.3, 17.117.3  Slides


28  Th 12/5  TBA  
30  Tu. 12/3  TBA  
31  Th. 12/5  TBA  
32  Tu 12/10  Review  HW 6 Due  
  Th 12/19  FINAL EXAM (1:003:00) Exam will take place in ITE 227 (our normal classroom) 

  Mo 12/19  Project and final report due (date likely to change) 