M 115 - Probability and Linear Mathematics
Prerequisite(s): appropriate placement test score, a grade of “B-” or better in M 094~ , enrolled in M015, 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: Upon completion of the course, students will be able to
- Use mathematical techniques to problem solve.
- Understand and apply quantitative concepts and reasoning using numerical data.
- Master the basic concepts of lines, linear regression, linear systems, matrices and linear programming (graphical method only).
- Calculate and interpret probabilities using sets and basic counting techniques.
- Calculate and interpret conditional probability and utilize Bayes’ theorem.
- Master the basic concepts of probability distributions and random variables.
- Calculate and interpret basic descriptive statistics.
- Apply the concepts listed above to solve application problems.
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