Requirement – A student will be required to have two QR courses.
Quantitative reasoning is the application of quantitative concepts and skills to solve real-world problems for the purpose of making decisions. To effectively use quantitative reasoning requires understanding how to interpret, evaluate, and use various types of quantitative information in order to support a position or argument. It includes the ability to express quantitative information visually, symbolically, numerically and verbally (including written or oral communication).
In order to perform effectively as professionals and citizens, students must become competent in reading and using quantitative data, in understanding quantitative evidence and in applying quantitative skills to the solution of real-life problems such as choosing the financing for a new home, how to live a sustainable lifestyle, and whether to vote for or against a specific tax. The purpose of embedding the Quantitative Reasoning skills in application courses is to provide our students with quantitative problem-solving experiences at the college level within the context of the content of other college courses. The goal is to instill long-term patterns of interaction and engagement with quantitative problem solving.
Required Course Characteristics
A course in this area will
- consist of content that is quantitative in nature for about one-third of the course. This can be measured by requiring that approximately one-third of the grade be based on assessment of student work that is quantitative in nature or by scheduling approximately one-third of the syllabus on quantitative material
- offer explicit instruction in the use of quantitative reasoning skills
- include several opportunities to practice quantitative reasoning skills
- provide feedback that is designed to help students evaluate and improve quantitative reasoning skills
Embedded Skill Learning Objectives
Through completion of a QR course, students should be able to
- interpret representations of quantitative information and draw inferences from them. Representations of quantitative information can be symbolic (e.g., a formula or symbolic language), visual (e.g., a graph, diagram or schematic), numerical (e.g., a table of values or calculation) or verbal (e.g., written or oral work)
- communicate quantitative information effectively incorporating at least one of symbolic, numeric or graphical representations within verbal communication
- solve problems and make decisions using quantitative methods. Quantitative methods of problem solving include any of those among arithmetic, algebraic, geometric, algorithmic and statistical methods
- analyze solutions to quantitative problems. Methods of analysis may include plausible estimation, testing for reasonableness, verifying the solution by using alternate methods of problem solving and testing the solution to see if it is optimal
- demonstrate recognition of the value and the limitations of quantitative methods