CSC242

Spring 2017 - TR 940-1055 - Dewey 1-101

Mon Day DOW Special Class Lecture Unit Topic AIMA Project
1 19 R   1   Intro      
1 24 T   2 1.1 Search Problem Solving 3.0-3.3.1  
1 26 R   3 1.2   Search Strategies 3.3.2-3.6  
1 31 T   4 1.3   Adversarial Search 5.0-5.2.1  
2 2 R   5 1.4   Adversarial Search 2 5.3-5.4.2; 5.5-5.6; 5.7-5.9 fyi  
2 7 T   6 1.5   Local Search 4.0-4.1  
2 9 R   7 1.6   Local Search 2 4.3-4.4; 4.2, 4.5 fyi  
2 14 T   8     Exam   Project 1 due
2 16 R   9 2.1 Reasoning Constraint Satisfaction 6.0-6.4  
2 21 T   10 2.2   Propositional Logic 7.0-7.4  
2 23 R   11 2.3   Propositional Inference 7.5  
2 28 T   12 2.4   First-Order Logic 8.0-8.3; 8.1.1-8.1.2 fyi  
3 2 R   13 2.5   First-Order Inference 9  
3 7 T   14     Exam   Project 2 due
3 9 R   15     No class    
3 14 T Spring Break            
3 16 R Spring Break            
3 21 T   16 3.1 Uncertainty Representing Uncertainty 13.0-13.2; 13.2.3 fyi  
3 23 R   17 3.2   Uncertain Inference 13.3-13.6  
3 28 T   18 3.3   Bayesian Networks 14.0-14.2, 14.4-14.4.3  
3 30 R   19 3.4   Approximate Inference in Bayesian Networks 14.5; 14.7 fyi  
4 4 T   20 3.5   Inference in Termporal Models 15.0-15.3  
4 6 R   21     Exam   Project 3 due
4 11 T   22 4.1 Learning Learning From Examples: Decision Trees 18.0-18.3  
4 13 R   23 4.2   Function Learning & Linear Regression 18.4-18.6.2  
4 18 T   24 4.3   Linear Classifiers & Neural Networks 18.6.3-18.7-18.7.5; 18.8-18.9 fyi  
4 20 R   25 4.4   Learning Probabilistic Models 20.0-20.2.2; 20.2.5 fyi  
4 25 T   26 4.5   Learning with Incomplete Data 20.3-20.3.4  
4 27 R   27     Exam   Project 4 due
5 2 T   28     No class    
                   
5 11 R 1600       Final Exam in Douglass Ballroom <-- Note location and watch BlackBoard for changes    

Last change: Mon Apr 17 16:23:03 2017