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Fall 2014 Statistics W4240 section 003
DATA MINING

Call Number 64169
Day & Time
Location
TR 1:10pm-2:25pm
545 Seeley W. Mudd Building
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 41 students (45 max) as of 11:37PM Monday, October 20, 2014
Final Exam Day/Time
T 1:10pm-4:00pm
Final Location 545 Seeley W. Mudd Building
Subject Statistics
Number W4240
Section 003
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
Section key 20143STAT4240W003

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SIS update 10/20/14 23:37    web update 10/21/14 15:03