MATH 118 Linear Models and Probability [GEQR]

Linear models, systems of linear equations, linear regression, probability theory, probabilistic simulations, decision theory, descriptive statistics; combinatorics and/or financial models as time permits.

Credit 3 hrs May not be repeated for additional credit
Grade Mode Normal (A-F) Course Rotation

Prerequisites - Level 4 Math Placement, (MATH 104 with a “C” or higher), MATH 105, MATH 107, MATH 110, MATH 180, or MATH 120
Restriction by Major -
Restriction by Class - Undergraduate standing

Additional Information - For more information about this course, review the course outline.

Rationale for Quantitative Reasoning - This course is comprised of two components: modeling with linear equations, and a comprehensive introduction to discrete probability. In both components of the course, the emphasis is placed on applying mathematical models (equations, graphs, tables of data, and symbolic formulas) to analyze real-world scenarios. For a given scenario, students will select an appropriate model, analyze the model, draw conclusions about the real-world scenario, and write their conclusions. The course emphasizes quantitative reasoning skills which will be useful not only in subsequent course work but in responding to the quantitative challenges of life. For these reasons, the course will count for the Quantitative Reasoning requirement in the General Education program Education for Participation in the Global Community.

Equivalent Course(s) -
Course History -
Change to prerequisite 9/2015, effective Fall 2016; Course outline added 6/2014; Approved for GEQR 12/2006, effective Winter 2007

mathematics, Quantitative Reasoning (GEQR)

Winter 2025 Course Sections

Fall 2024 Course Sections