Introduction to Math Modeling and Probability
A goal is to convey the power of mathematics as shown by a variety of problems which can be modeled and solved by quantitative means. Also included is an introduction to probability. Topics include data analysis, equations, systems of equations, inequalities, elementary linear programming, Venn diagrams, counting, basic probability, permutations, combinations, tree diagrams, standard normal and normal distributions. The mathematics of finance is covered. The course includes problem solving and decision making in economics, management, and social sciences.
Topics
- data analysis
- equations
- systems of equations
- inequalities
- elementary linear programming
- Venn diagrams
- counting
- basic probability
- permutations
- combinations
- tree diagrams
- standard normal and normal distributions
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: Must have math eligibility of MATH107 or higher; and math eligibility is based on Math Placement Exam or successful completion of MATH003 with appropriate eligibility. Restriction: Not open to students majoring in mathematics, engineering, business, life sciences, and the physical sciences; must not have completed STAT100 , MATH113 , MATH120 , MATH135 , MATH136 or MATH140 with a C- or better; must not have completed any MATH or STAT course with a prerequisite of MATH120 , MATH136 , or MATH140 . Formerly: MATH110 and MATH111.
Sources
- Course catalogue ↗2026-2027