Week  Dates  Subject  Reading Notes Homework
1 16-Aug Introduction to AI Chap. 1,2  Lecture 1  
8/18/16 Uninformed search Chap. 3  Lecture 2  
2 8/23/16 Informed search Chap. 3  Lecture 3  
8/25/16 Advanced search Chap. 4.1  Lecture 4  
3 8/30/16 Clustering 18.1-18.2  Lecture 5 HW 1
9/1/16    
4 9/6/16 Classification:KNN & SVM 18.9  Lecture 6  
9/8/16    
5 9/13/16 Probability Review 13.1-13.5  Lecture 7  
9/15/16 Classification:Naive Bayes    Lecture 8  
6 9/20/16 Classification: Decision tree 18.3  Lecture 9  
9/22/16   HW 2
7 9/27/16 NO CLASS      
9/29/16 Neural Networks 18.7  Lecture 10  
8 10/4/16 Deep Learning PAPER READING  Lecture 11  
10/6/16 Mid-term review      
9 10/11/16 Mid-term      
10/13/16 Plannning Chap. 10,11  Lecture 12  
10 10/18/16    
10/20/16 Planning: MDP 17.1-17.3  Lecture 13  
11 10/25/16   HW 3
10/27/16 Planning: POMDP 17.4  Lecture 14  
12 11/1/16    
11/3/16 Planning: Reinforcement learning Chap. 21  Lecture 15  
13 11/8/16    
11/10/16 Game theory 5.1-5.3  Lecture 16  
14 11/15/16     HW 4
11/17/16 Final Project mid-Presentation      
15 11/22/16 NO CLASS, THANKSGIVING!      
11/24/16    
16 11/29/16 Bayesian networks 14.1-14.4  Lecture 17  
12/1/17     HW 5
17 12/6/17 Dimensionality reduction    Lecture 18  
12/8/17 Final Project Presentation