Stat 351 Probability and Statistics for Electrical and Computer Engineering

An introduction to applied probability, statistics, and data analysis. Sample spaces, probability laws, discrete and continuous probability models, sampling theory, point estimation, regression, correlation, simulation, and computation in MATLAB. Applications to problems of current interest to electrical and computer engineers.