Quantitative Reasoning

We aim to support all students in strengthening their understanding and application of mathematical, logical, and statistical skills.

Services offered by the QR Program include:

  • Assessing first-year students' quantitative literacy
  • Advising students regarding appropriate quantitative courses
  • Establishing study groups for quantitative courses
  • Providing individual tutoring for students in quantitative courses
  • Offering supplemental support to quantitative courses, as requested by faculty
  • Offering QR coursework such as MATH 1050: Quantitative Reasoning and DCS 1200: Data Driven Societies

 

students in a quantitative reasoning workshop
Class of '22 Geoffrey Canada Scholars in a QR Workshop

What is Quantitative Reasoning?

QR is interdisciplinary. Students should encounter examples of QR in courses throughout their college curriculum, just as they will encounter QR in a variety of situations after graduation. 

According to The Mathematical Association of America, a quantitatively literate college graduate should be able to:

Quantitative Methods
  • Interpret mathematical models such as formulas, graphs, tables, and schematics, and draw inferences from them.
  • Represent mathematical information symbolically, visually, numerically, and verbally. Use arithmetical, algebraic, geometric and statistical methods to solve problems.
  • Estimate and check answers to mathematical problems in order to determine reasonableness, identify alternatives, and select optimal results.
  • Recognize that mathematical and statistical methods have limits.

The MAA guidelines further explain quantitative literacy expectations of college students: "The level of sophistication and maturity of thinking expected of a college student should extend to a capability for quantitive reasoning which is commensurate with the college experience. College students should be expected to go beyond routine problem solving to handle problem situations of greater complexity and diversity, and to connect ideas and procedures more readily with other topics both within and outside mathematics."