CHEG 607 - Modeling, Analysis, and Acquisition of Data

Provides a fundamental understanding of uncertainty in data to facilitate efficient data analysis and data acquisition. Topics include Probability as a fundamental tool for modeling and rigorous analysis of randomly varying phenomena; Statistics, as a complement to probability, for efficiently describing and extracting information contained in data, to enable confident data-based decision-making; and Design of Experiment, as a coherent collection of strategies for systematically acquiring informative data.
Repeatable for Credit: N Allowed Units: 2 Multiple Term Enrollment: N Grading Basis: Student Option
Course Typically Offered: Summer