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                      | ARCHIVED 2020-2021 Undergraduate Catalog [ARCHIVED CATALOG] 
 
   |  MATH 350 - Data Analytics4.00 credit hoursAn overview of the field of statistical learning. Survey of techniques for predictive analytics including model selection and validation methods, linear and non-linear models and supervised and unsupervised learning. Implementation of all techniques will employ appropriate software.
 
 Prerequisite(s): MATH 260  or MATH 340 ; CSCE 210 .
 
 
 Click here for the schedule of classes. 
 
 
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