QUANTITATIVE REASONING AND PROBLEM SOLVING
Develops a habit of mind, competency, and comfort in working with numerical data. Learn to reason and solve quantitative problems from a wide array of authentic contexts and everyday life situations, develop the ability to reason mathematically, and make and evaluate logical arguments supported by quantitative evidence. This course is for students who need to satisfy part A of the Quantitative Reasoning requirement and prepare for QR-B courses, but do not want to continue in the calculus sequence.
Prerequisites & course information
Requisites: MATH 96 or placement into MATH 141 . MATH 118 does not fulfill the requisite Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Comm QR - Quantitative Reasoning A Level - Elementary L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Identify appropriate models to fit scenarios described with numerical data and/or verbal descriptions (e.g. related to basic financial, probabilistic, and statistical models). Audience: Undergraduate 2. Make predictions and draw conclusions in real world contexts using a model, and recognize the limitations of mathematical models in those contexts. Audience: Undergraduate 3. Understand and be able to create and evaluate arguments supported by quantitative evidence and clearly communicate those arguments using words, tables, graphs, mathematical equations, etc., as appropriate in various contexts (e.g. with problems related to financial planning, basic probability). Audience: Undergraduate 4. Construct and interpret graphical displays of data and understand how they can be used and misused. Audience: Undergraduate Learning Outcomes: 1. Identify appropriate models to fit scenarios described with numerical data and/or verbal descriptions (e.g. related to basic financial, probabilistic, and statistical models). Audience: Undergraduate 2. Make predictions and draw conclusions in real world contexts using a model, and recognize the limitations of mathematical models in those contexts. Audience: Undergraduate 3. Understand and be able to create and evaluate arguments supported by quantitative evidence and clearly communicate those arguments using words, tables, graphs, mathematical equations, etc., as appropriate in various contexts (e.g. with problems related to financial planning, basic probability). Audience: Undergraduate 4. Construct and interpret graphical displays of data and understand how they can be used and misused. Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027