— Probability

Prerequisites & course information

Course Description: Probability space; discrete probability, combinatorial analysis; independence, conditional probability; random variables, discrete and continuous distributions, probability mass function, joint and marginal density functions; expectation, moments, variance, Chebyshev inequality; sums of random variables, random walk, large number law, central limit theorem. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research majors. Credit Limitation(s): Not open for credit to students who have completed former MAT 131. Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research majors. Credit Limitation(s): Not open for credit to students who have completed former MAT 131. Grade Mode: Letter. General Education: Science & Engineering (SE).