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 and interval estimation, hypothesis testing, regression, correlation, experimental design, analysis of variance, computer simulation and computation in Matlab. Applications to problems of current interest to electrical and computer engineers.