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CS 697 Spatial Data Mining
Tentative Course Schedule 
Spring 2009

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 07:00 PM - 08:15 PM, Wednesday 07:00 PM - 08:15 PM Class Number:18779
McCormick 1st floor Classroom M01-0201
Weeks Meetings Topic Readings & Handouts Examples & Web Resources
1.  Jan 26  Course Administration & Introduction to the UMass Online Blackboard Learning System (BLS)    
 Jan 28  No class, make-up class will be on Mon March 23    
2.  Feb 2  Introduction to Spatial Data Mining  Slides: Introduction to Spatial Data Mining  
 Feb 4  Building a Custom Application (class will be in the Web Lab)  Slides: Building a Custom Application  
3.  Feb 9  Understanding VBA (class will be in the Web Lab)  Slides: Understanding VBA  
 Feb 11  Understanding VBA (continued)    
4.  Feb 16  No class, Presidents Day (Holiday)    
 Feb 18  Understanding VBA Part II  Slides: Understanding VBA Part II  
5.  Feb 23  Understanding ArcObjects  Slides: Understanding ArcObjects  
 Feb 25  Understanding ArcObjects (continued)    
6.  Mar 2  Using ArcObjects (campus closed all day on March 2nd)

 Slides: Using ArcObjects

 
 Mar 4  No class, make-up class will be on Mon March 11    
7.  Mar 9 Using ArcObjects    
 Mar 11 Data Preprocessing (3-hour session)  Slides: Data Preprocessing  
 Mar 16 and Mar 18, no class, Spring Vacation
8.  Mar 23  Classification Part I
Slides: Classification Part I  
 Mar 25  Classification Part I (continued)    
9.  Mar 30  Classification Part I (continued)    
 Apr 1  Classification Part I (continued)    
10.  Apr 6 No class, reading day    
 Apr 8  Classification Part II Slides: Classification Part II  
April 9, Course Withdraw Deadline
11.  Apr 13  Classification Part II (continued)    
 Apr 15  Association Analysis Slides: Association Analysis Part I  
12.  Apr 20  No class, Patriots Day    
 Apr 22  Association Analysis (continued)
Pre-Exam Review
   
13.  Apr 27  Association Analysis (continued) Slides: Association Analysis Part II  
 Apr 29  Examination pre-exam review  
14.  May 4  Association Analysis (continued)    
 May 6  Term Project Discussion    
15.  May 11  Clustering Slides: Cluster Analysis  
 May 13  Clustering (continued)    
16.  May 20  Term Project Presentation (7:00 PM-9:30PM)    

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