Computational Tools and Techniques for Data Analysis

Catalog description

Introduction to the representation, manipulation, and analysis of large datasets from a user’s perspective. Topics include data filtering, clustering, classification, and data mining. The basic principles behind each technique are first introduced and then numerical experiments demonstrate their applicability. Standard software and programming languages are used. Prerequisite(s): (Undergraduate level MTH 2240 Minimum Grade of D or Undergraduate level MTH 2280 Minimum Grade of D or Undergraduate level MTH 2300 Minimum Grade of D) and (Undergraduate level CS 1160 Minimum Grade of D or Undergraduate level CS 1180 Minimum Grade of D or Undergraduate level CEG 2170 Minimum Grade of D) and (Undergraduate level STT 1600 Minimum Grade of D or Undergraduate level STT 3600 Minimum Grade of D or Undergraduate level ISE 2211 Minimum Grade of D or Undergraduate level EE 3260 Minimum Grade of D)