Document Type

Syllabus

Description

Introduction to the representation, visualization, and modeling of large data sets. Data analysis using standard high level software tools. Topics include data filtering, clustering, classification, and data mining. A familiarity with Excel is assumed plus some exposure to programming in languages such as CIC++ or Java. Knowledge of basic statistics is useful but not required. Material covered will be relevant to applications areas in science and engineering. Four credit hours.

Publication Date

Spring 2008

College

College of Engineering and Computer Science

Department

Computer Science

Course Number

CS 350/550


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