M 115M - Probability and Linear Mathematics

Credit(s): 3

Prerequisite(s): appropriate placement test score, a grade of “C” or better in M 094~, or Math Department consent.
The course will cover systems of linear equations and matrix algebra including linear programming. An introduction to probability with emphasis on models and probabilistic reasoning will be covered. Examples of applications will be demonstrated from a wide variety of fields. (All Semesters)

Course Learning Outcomes

Use mathematical techniques to problem solve.
Understand and apply quantitative concepts and reasoning using numerical data.
Master the basic concepts of lines, linear systems, matrices and linear programming (graphical method only).
Understand the basic probability concepts: sets, counting techniques, and probability models.
Understand conditional probability and Bayes’ theorem.
Understand basic statistics.
Apply the concepts mentioned above to solve application problems.