**Learning Outcomes:**

- 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 |

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