— Applied Probability for Electrical & Computer Engineers

Prerequisites & course information

Course Description: Axioms of probability, discrete and continuous random variables, expectation and moments. Transformation of random variables. Joint and conditional densities. Limit theorems, Markov and Poisson processes. Applications in Electrical and Computer Engineering. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE).