Language of set theory, counting and combinations. Probability theory, elementary stochastic processes, conditional probabilities. Repeated experiments, random variables, expectation, variance, linear equations, matrix algebra, application to economics or similar. Linear programming. Markov chains including applications.
The tuition fee in this course covers access to the textbook (online). You do not need to purchase a textbook, but you may purchase a hard copy text if you wish.
Prerequisite: 
MATH 110 (College Algebra)
Course Outline: 
Unit 1 - Sets and Probability
Unit 2 - Counting Principles; Further Probability Topics
Unit 3 – Statistics
Unit 4 - Linear Functions
Unit 5 - Systems of Linear Equations and Matrices
Unit 6 - Linear Programming: The Graphical Method
Unit 7 - Linear Programming: The Simplex Method
Unit 8 - Markov Chains