CS 350/550 is an introduction to the representation, visualization, and modeling of large data sets using standard, high-level software tools. The course is designed to expose students to tools and methods useful to conduct analysis of large data sets often encountered in science and engineering pursuits. The goal of this course is to help students understand how they might summarize and how to make predictions based on that date. Topics include data filtering, clustering, classification, and data mining. A familiarity with spreadsheet software is assumed. Students should also be able to construct simple programs in a "C like" language (C, C++, Java, etc.) Knowledge of basic statistics is desirable, but not required.
College of Engineering and Computer Science