CSC242

Fall 2022 - TR 1525-1640 - Wegmans 1400

Mon Day DOW Special Class Lecture Unit Topic AIMA (4th ed) Project AIMA (3rd ed) Poole & Mackworth (2nd ed)
9 1 R   1 0 Intro   1   1  
9 6 T   2 1.1 Search Problem Solving 3.0-3.3.3   3.0-3.3.1 3.1-3.4
9 8 R   3 1.2   Search Strategies 3.3.4-3.6.1, 3.6.6   3.3.2-3.6.1, 3.6.6 3.5-3.6
9 13 T   4 1.3   Adversarial Search 5.0-5.2.1   5.0-5.2.1 11.0-11.3
9 15 R   5 1.4   Adversarial Search 2 5.3-5.3.2; 5.5-5.6; 5.7 fyi   5.3-5.4.2; 5.5-5.6; 5.7-5.9 fyi  
9 20 T   6 1.5   Local Search 4.0-4.1   4.0-4.1 4.7
9 22 R   7 1.6   Local Search 2 4.3-4.4; 4.2, 4.5 fyi   4.3-4.4; 4.2, 4.5 fyi  
9 26 M             Project 1 due    
9 27 T   8     Exam 1        
9 29 R   9 2.1 Representation Constraint Satisfaction 6.0-6.4   6.0-6.4 4.0-4.6
10 4 T   10 2.2   Propositional Logic 7.0-7.4   7.0-7.4 5.0-5.1
10 6 R   11 2.3   Propositional Theorem Proving 7.5   7.5 5.2-5.3
10 11 T Fall Break                
10 13 R   12 2.4   First-Order Logic 8.0-8.3   8.0-8.3 13.0-13.3
10 18 T   13 2.5   First-Order Theorem Proving 9   9 13.4-13.5
10 19 W             Project 2 due    
10 20 R   14     Exam 2        
10 25 T   15 3.1 Uncertainty Representing Uncertainty 12.0-12.2; 12.2.3 fyi   13.0-13.2; 13.2.3 fyi 8.0-8.2
10 27 R   16 3.2   Uncertain Inference 12.3-12.7   13.3-13.6  
11 1 T   17 3.3   Bayesian Networks 13.0-13.2.1; 13.3-.3   14.0-14.2, 14.4-14.4.3 8.3-8.4
11 3 R   18 3.4   Approximate Inference in Bayesian Networks 13.4; 13.5 fyi   14.5; 14.7 fyi 8.6
11 8 T   19 3.5   Inference in Termporal Models 14.0-14.2; 14.3 fyi   15.0-15.2; 15.3 fyi 8.5
11 9 W             Project 3 due    
11 10 R   20     Exam 3        
11 15 T   21 4.1 Learning Learning From Examples, Decision Trees 19.0-19.3, 19.4.0   18.0-18.3, 18.4.0 7.0-7.3.1
11 17 R   22 4.2   Linear Regression and Linear Classifiers 19.6   18.6 7.3.2-7.4
11 22 T   23 TBD   TBD        
11 24 R Thanksgiving                
11 29 T   24 4.3   Neural Networks 21.0-21.2   18.7-18.7.4 7.5
12 1 R   25 4.4   Learning Probabilistic Models 20.0-20.2.2; 20.2.7 fyi   20.0-20.2.2; 20.2.5 fyi 10.3-10.3.1
12 6 T   26 4.5   Learning with Incomplete Data 20.3.0, 20.3.4   20.3.0, 20.3.4 10.3.2-10.3.3
12 7 W             Project 4 due    
12 8 R   27     Exam 4        
12 13 T   28 TBD   TBD        

Last change: Tue Aug 30 09:47:56 2022