Probability and Statistics for Engineering

3 credits · Undergraduate

Discrete and continuous probability functions, cumulative distributions. Normal distribution. Poisson distribution and Poisson process. Conditional probability and Bayes' formula. Point estimation and interval estimation. Hypothesis testing. Covariance and correlation. Linear regression theory and the principle of least squares. Monte Carlo methods. Intended for students in Electrical Engineering and Computer Engineering. Not open to students who have earned credit for MATH 2820 without permission. Total credit for this course and MATH 2820 will not exceed 3 credit hours. Credit hours reduced from second course taken (or from test or transfer credit) as appropriate. Prerequisite: 1301. [3] (No AXLE credit) (CORE D) (LE MNS)