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 C/C++ 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 2009
College
College of Engineering and Computer Science
Department
Computer Science
Course Number
CS 350/550
