STAT W4240x Data Mining 3 pts. Prerequisites: 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 interface of Statistics and Computer Science. The emergence of massive datasets containing millions or even billions of observations provides the primary impetus for the field. Such datasets arise, for instance, in large-scale retailing, telecommunications, astronomy, computational and statistical challenges. This course will provide an overview of current research in data mining and will be suitable for graduate students from many disciplines. Specific topics covered with include databases and data warehousing, exploratory data analysis and visualization, descriptive modeling, predictive modeling, pattern and rule discovery, text mining, Bayesian data mining, and causal inference.

Course
Number
Call Number/
Section
Days & Times/
Location
Instructor Enrollment
Spring 2014 :: STAT W4240
STAT
4240
23341
001
TuTh 6:10p - 7:25p
614 SCHERMERHORN HALL
L. Hannah 73 / 100 [ More Info ]
STAT
4240
27974
002
MW 6:10p - 7:25p
329 PUPIN LABORATORIES
J. Cunningham 60 / 100 [ More Info ]
Autumn 2014 :: STAT W4240
STAT
4240
75279
001
TuTh 6:10p - 7:25p
TBA
L. Hannah 34 / 125 [ More Info ]
STAT
4240
26343
002
MW 6:10p - 7:25p
TBA
J. Cunningham 36 / 125 [ More Info ]
STAT
4240
64169
003
TuTh 1:10p - 2:25p
TBA
L. Hannah 12 / 75 [ More Info ]
STAT
4240
86797
004
MW 1:10p - 2:25p
TBA
L. Hannah 2 / 75 [ More Info ]