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Fall 2014 Statistics W4240 section 001
DATA MINING

Call Number 75279
Day & Time
Location
TR 6:10pm-7:25pm
329 Pupin Laboratories
Points 3
Approvals Required None
Instructor Lauren A Hannah
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 123 students (125 max) as of 11:35PM Thursday, August 28, 2014
Subject Statistics
Number W4240
Section 001
Division Interfaculty
Open To Barnard, Columbia College, Engineering and Applied Science: Undergraduate, Graduate School of Arts and Science, General Studies
Campus Morningside
Note PRIORITY TO STAT MA STUDENTS
Section key 20143STAT4240W001

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SIS update 08/28/14 23:35    web update 08/29/14 15:03