ECEGĀ 370. Probabilistic System & Data Analysis. 1 Credit.
Offered Fall Semester Only; Lecture hours:3,Lab:2
Introduction to the probabilistic description of signals, systems, and data. Topics include random variables/vectors/processes, statistical data characterization, expectations, information measures, and transformations of random data. The course includes a discussion of the foundations of detection, classification, and estimation theory. Prerequisite: ECEG 270.