CSC242

Spring 2021 - TR 940-1055 - See BlackBoard for Zoom info

Mon Day DOW Special Class Lecture Unit Topic AIMA (3rd ed) Project Poole & Mackworth (2nd ed)
2 2 T   1 0 Intro   1    
2 4 R   2 1.1 Search Problem Solving 3.0-3.3.1   3.1-3.4
2 9 T   3 1.2   Search Strategies 3.3.2-3.6   3.5-3.6
2 11 R   4 1.3   Adversarial Search 5.0-5.2.1   11.0-11.3
2 16 T   5 1.4   Adversarial Search 2 5.3-5.4.2; 5.5-5.6; 5.7-5.9 fyi    
2 18 R   6 1.5   Local Search 4.0-4.1   4.7
2 23 T   7 1.6   Local Search 2 4.3-4.4; 4.2, 4.5 fyi    
2 24 W             Project 1 due  
2 25 R   8     Exam 1      
3 2 T   9 2.1 Representation Constraint Satisfaction 6.0-6.4   4.0-4.6
3 4 R   10 2.2   Propositional Logic 7.0-7.4   5.0-5.1
3 9 T   11 2.3   Propositional Theorem Proving 7.5   5.2-5.3
3 11 R   12 2.4   First-Order Logic 8.0-8.3; 8.1.1-8.1.2 fyi   13.0-13.3
3 16 T   13 2.5   First-Order Theorem Proving 9   13.4-13.5
3 17 W             Project 2 due  
3 18 R   14     Exam 2      
3 23 T   15 3.1 Uncertainty Representing Uncertainty 13.0-13.2; 13.2.3 fyi   8.0-8.2
3 25 R   16 3.2   Uncertain Inference 13.3-13.6    
3 30 T Study Break day              
4 1 R   17 3.3   Bayesian Networks 14.0-14.2, 14.4-14.4.3   8.3-8.4
4 6 T   18 3.4   Approximate Inference in Bayesian Networks 14.5; 14.7 fyi   8.6
4 8 R   19 3.5   Inference in Termporal Models 15.0-15.3   8.5
4 12 M             Project 3 due  
4 13 T   20     Exam 3      
4 15 R   21 4.1 Learning Learning From Examples, Decision Trees 18.0-18.3, 18.4.0   7.0-7.3.1
4 20 T   22 4.2   Linear Regression and Linear Classifiers 18.6   7.3.2-7.4
4 22 R   23 4.3   Neural Networks 18.7-18.7.4   7.5
4 27 T   24 4.4   Learning Probabilistic Models 20.0-20.2.2; 20.2.5 fyi   10.3-10.3.1
4 29 R   25 4.5   Learning with Incomplete Data 20.3-20.3.4   10.3.2-10.3.3
5 3 M             Project 4 due  
5 4 T   26     Exam 4      
5 6 R   27 TBD   TBD      

Last change: Sat Mar 20 16:09:57 2021