Class Restriction And Registration Summary

 

ACMS 40875 - Section 01: Stat Methods in Data Mining (CRN 17277)
Long Title: Statistical Methods in Data Mining and Prediction

Course Description:
Data mining is widely used to discover useful patterns and relationships in data. We will emphasize on large complex datasets such as those in very large databases or web-based mining. The topics will include data visualization, decision trees, association rules, clustering, case based methods, etc.

Associated Term: Fall Semester 2017
Campus: Main
Credits: 3
Grade Mode: Standard Letter
Course may not be repeated


Prerequisites:
ACMS 30600



Restrictions:
Department Approval Required
Must be enrolled in one of the following Major(s):
App & Comp Math & Stats (Supp) (ACM2) ,  Applied & Comp Math and Stats (ACMS) ,  Statistics (STAT) ,  Statistics (Supp.) (STT2)
Must have the following Classifications:
Senior (04)
Must be enrolled in one of the following Levels:
Employee Non-Degree (EM) ,  Graduate Architecture (GA) ,  Graduate Non-Degree (GD) ,  Graduate (GR) ,  St. Mary's College (SM) ,  Undergraduate Non-Degree (UD) ,  Undergraduate (UG)
Must be enrolled in one of the following Campuses:
Main (M)

Course Attributes:
ZTST - Final exam

Registration Availability (Overflow: Off )
  Maximum Actual Remaining
TOTAL 40 33 7


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Instructor's Description of Course » Li, Jun » ACMS  40875 - Section 01:  Stat Methods in Data Mining (CRN 17277)
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Enrollment History » ACMS 40875 Stat Methods in Data Mining (CRN 17277)
Enrollment over the last three years
Course was recently taught in FA14, SP16, FA16
Average number of students: 44
Composition of Students First Year Soph Junior Senior/5th Grad/Prof
FYS          
Architecture          
Arts and Letters       5% 7%
Business     1% 7%  
Engineering       1% 15%
Science     8% 29% 26%
Law          

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