Units: 1.5, Hours: 3-0
Geometric approach to linear programming, linear systems, Gauss-Jordan elimination, matrices, compound interest and annuities, permutations and combinations, basic laws of probability, conditional probability, independence, tree diagrams and Bayes formula, random variables and their probability distributions (including binomial and hypergeometric), expectation, applications of discrete probability and Markov chains.
Note: Not open for credit to students with credit in 352.
Prerequisites: One of Principles of Mathematics 11 or 12, Pre-calculus 11 or 12, Foundations of Mathematics 12, or 1.5 units of credit in MATH courses numbered 100 or higher.
Undergraduate course in Mathematics offered by the Department of Mathematics and Statistics in the Faculty of Science.