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CS 480/697 Applied Machine Learning
Tentative Course Schedule 
Spring 2013

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: Tuesday 04:00 PM - 05:15 PM, Thursday 04:00 PM - 05:15 PM Class Number:12707/12706
Science Building the 3rd floor S-3028
Weeks Meetings Topic Readings & Handouts Examples & Web Resources
1.  Jan 29  Course Administration
 WEKA Data Mining Tutorial for First Time and Beginner Users (watch it; will be covered on the exam)
 
 Jan 31  Course Administration
 Weka Intro
 Slides: Weka Intro  
2.  Feb 5  Weka Intro (continued)    
 Feb 7  Input: Concepts, instances, attributes  Slides: Input: Concepts, instances, attributes
3.  Feb 12  Input: Concepts, instances, attributes (continued)
 
 
 Feb 14  Output: Knowledge representation  Slides: Output: Knowledge Representation
4.  Feb 19  Output: Knowledge representation (continued)  
 Feb 21  Output: Knowledge representation (continued)  
5.  Feb 26  Algorithms: The basic methods  Slides: Algorithms: The Basic Methods
 Feb 28  Algorithms: The basic methods  (continued)  
6.  Mar 5  Algorithms: The basic methods  (continued)  
 Mar 7  Algorithms: Covering Algorithms: Constructing Rules
 Pre-Midterm Exam Review
   
7.  Mar 12  Reading Day
 
   
 Mar 14 Midterm Exam   The Official US Time
8.  Mar 19  Spring Vacation (no class)    
 Mar 21  Spring Vacation (no class)    
9.  Mar 26  Post-Midterm Exam Review

 

 
 Mar 28  Algorithms: Mining Association Rules  
10.  Apr 2  Algorithms: Mining Association Rules (continued)  
 Apr 4  Algorithms: Linear Models  
11.  Apr 9  ArcGIS for Beginners (Invited Speaker: Yan Liu)  
 Apr 11  Algorithms: Instance-Based Learning  
12.  Apr 16  Algorithms: Instance-Based Learning (continued)  
 Apr 18  Flood Forecasting: A Review (Invited Speaker: Ian Paynter)  
13.  Apr 23  Algorithms: Clustering (continued)  
 Apr 25  Algorithms: Multi-Instance Learning  
14.  Apr 30  Term Project Progress Report  
 May 2  Algorithms: Mining Association Rules (continued)  
15.  May 7  Term Project Progress Report

 

 
 May 9  Algorithms: Mining Association Rules (continued)    
16.  May 14  Term Project Progress Report Final Pre-Exam Review  
17.  May 21  Final Exam (4:00 - 5:15 PMClassroom: the Web Lab, S-3-028)    

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