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CS 470/670 Artificial Intelligence
Tentative Course Schedule 
Fall 2010

Dr. Wei Ding

The course schedule is tentative. Actual contents to be covered depend on progress.
Lecture notes can be downloaded through your UMass Online Blackboard Learning System (BLS) account.

Section 01: Monday 04:00 PM - 05:15 PM, Wednesday 04:00 PM - 05:15 PM Class Number:  3218 for CS 470, 3219 for CS 670
McCormick 2nd floor M2-0417
Weeks Meetings Topic Readings & Handouts Examples & Web Resources
1.  Sept. 6, no class, Labor Day (Holiday)
 Sept. 8  Course Administration    
2.  Sept. 13  Introduction to AI Ch 1
Slide: Introduction to AI
 
 Sept. 15  Solving Problem by Searching  Ch 3.1 ~ Ch 3.3
Slides: Solving Problem by Searching
 
3.  Sept. 20  Uninformed Search Strategies  Ch 3.4 ~ Ch 3.5
Slides: Uninformed Search Strategies
 
 Sept. 22  Uninformed Search Strategies (continued)    
4.  Sept. 27  Uninformed Search Strategies (continued)
Informed Search and Exploration
Ch 4
Slides: Informed Search and Exploration Part I
 
 Sept. 29  Informed Search and Exploration (continued)
Pre-Exam Review
 Pre-Exam Review  
5.  Oct. 4  Introduction to Weka
(class will be in the Web Lab)
Slides: Introduction to Weka  
 Oct. 6  Examination
 
  The Official US Time
6.  Oct. 11, no class, Columbus Day (Holiday)
 Oct. 13  Exam Review    
7.  Oct. 18 Homework 1 Review
 Informed Search and Exploration
(continued)
Slides: Informed Search and Exploration Part II  
 Oct. 20 Term Project Requirement Analysis    
8.  Oct. 25 Informed Search and Exploration (continued)
 Distance Learning Session
 Slides: Informed Search and Exploration Part III  
 Oct. 27  Team meeting day (no class)    
9.  Nov. 1  Informed Search and Exploration (continued)  
 Distance Learning Session

 

 
 Nov. 3  no class; make-up class on Dec. 15

 

 
10.  Nov. 8  Informed Search and Exploration (revisit)    
 Nov. 10  Informed Search and Exploration (continued)         
11.  Nov. 15  Adversarial Search  Ch 6
Slides: Adversarial Search
 
 Nov. 17  Probabilistic Reasoning & Statistical Learning Models  Ch 13 ~ Ch 14, Ch 20.2
Slides: Uncertainty
 
12.  Nov. 22  Probabilistic Reasoning & Statistical Learning Models  (continued)    
 Nov. 24  Probabilistic Reasoning & Statistical Learning Models  (continued)    
13.  Nov. 29  Probabilistic Reasoning & Statistical Learning Models  (continued)
Classification: Basic Concepts
   
 Dec. 1  Classification: Nearest-Neighbor Classifiers    
14.  Dec. 6  Classification: Decision Trees    
 Dec. 8  Classification: Ensemble Methods    
15.  Dec. 13  Classification: Ensemble Methods (continued)    
 Dec. 15  Class Make-Up    
16.  Dec. 22 (Wednesday 3:00 - 6:00 PM)  Term Project Presentation
Classroom: McCormick 2nd floor M02-0415
   

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