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Fall 2014 Statistics W4240 section 002
DATA MINING

Call Number 26343
Day & Time
Location
MW 6:10pm-7:25pm
To be announced
Points 3
Approvals Required None
Instructor Victoria Stodden
Type LECTURE
Course Description Prerequisites: Linear Algebra, COMS W1003, W1004, W1005, W1007, or the equivalent. Corequisites: Either STAT W3105 or W4105, and either STAT W3107 or W4107. Data Mining is a dynamic and fast growing field at the intersection of Statistics and Computer Science, driven by the prevalence of nontraditional and observational datasets. This course provides anoverview of methods for regression, classification, clustering, dimension reduction, and rules mining. Students are expencted to implement these methods, on projects including text mining andimage processing. 
Web Site CourseWorks
Department Statistics
Enrollment 68 students (180 max) as of 6:58PM Saturday, October 18, 2014
Subject Statistics
Number W4240
Section 002
Division Interfaculty
Open To Barnard, Columbia College, Engineering and Applied Science: Undergraduate, Engineering and Applied Science: Graduate, Graduate School of Arts and Science, General Studies, International and Public Affairs, School of Continuing Education
Campus Morningside
Note PRIORITY TO STAT MA STUDENTS. ON-LINE COURSE
Section key 20143STAT4240W002

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SIS update 10/18/14 18:58    web update 10/19/14 15:02