CSC242

Fall 2020 - TR 1525-1640

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

Last change: Fri Sep 25 11:16:37 2020