Engineers Discrete and continuous random variables. Joint and conditional probabilities, independence, sums of random variables. Expectation, moments, laws of large numbers. Introduction to statistics. Stochastic processes, stationarity, additive white Gaussian noise, Poisson processes. Markov processes, transition probabilities and rates, birth death processes, introduction to queueing theory. Includes: Experiential Learning Activity Prerequisite(s): MATH 1004 and MATH 1104, and second-year status in Engineering. Lectures three hours a week, laboratory three hours alternate weeks. [0.5 credits]
Engineers Discrete and continuous random variables. Joint and conditional probabilities, independence, sums of random variables. Expectation, moments, laws of large numbers. Introduction to statistics. Stochastic processes, stationarity, additive white Gaussian noise, Poisson processes. Markov processes, transition probabilities and rates, birth death processes, introduction to queueing theory. Includes: Experiential Learning Activity Prerequisite(s): MATH 1004 and MATH 1104, and second-year status in Engineering. Lectures three hours a week, laboratory three hours alternate weeks. [0.5 credits]
