- Students are able to interpret quantitative information (i.e., formulas, graphs, tables, models, and schematics) and draw inferences from them.
- Given a quantitative problem, students are able to formulate the problem quantitatively and use appropriate arithmetical, algebraic, and/or statistical methods to solve the problem.
- Students are able to evaluate logical arguments using quantitative reasoning.
- Students are able to communicate and present quantitative results effectively.
Required: Math 106; or if the student has achieved an appropriate placement score on quantitative skills, one of the courses listed below. Before selecting a course, please verify your degree requirements as many majors require a specific course to meet this requirement. (Students are assumed to have achieved satisfactory completion of the high school math required for admission.)
Approved Courses: For the most current list of approved courses for 2017-2018, please see the Catalog
|Department||Course Number||Course Title|
|MATH||MATH 106||Quantitative Reasoning|
|MATH||MATH 108||Introductory Calculus with Business Applications|
|MATH||MATH 110||Introductory Probability|
|MATH||MATH 111||Linear Mathematical Modeling|
|MATH||MATH 113 (or sequence of MATH 123 and MATH 124)||Analytic Geometry and Calculus I|
|MATH||MATH 115||Analytic Geometry and Calculus I (Honors)|
|MATH||MATH 123 (must also complete MATH 124 to receive credit)||Calculus Algebra/Trigonometry A|
|MATH||MATH 124 (must also complete MATH 123 to receive credit)||Calculus Algebra/Trigonometry B|
|MATH||MATH 125||Discrete Mathematics I|
|SOAN||SOCI 313||Statistics for Behavioral Sciences|
|STAT||STAT 250||Introductory Statistics I|