Probability and Statistics for Engineers

Undergraduate

Probability theory: events and populations, probability theorems, continuous and discrete random variables, and probability distributions, including Binomial, Poisson, exponential and normal distributions. Statistical inference: sampling and sampling distributions, statistical estimation theory, confidence intervals, and hypothesis testing. Introduction to analysis of various... Course Format: Lectures 3 hours per week; lab 1.5 hours per week. Restrictions: Open to Engineering majors. Prerequisite(s): MATH 1P08 Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.