Quantitative Reasoning

Essential goals include developing basic or more advanced quantitative reasoning skills (including the ability to manipulate expressions), evaluating probabilities, creating and interpreting graphs, using mathematics to solve problems, and making arguments with numbers.

  1. Academics
  2. University Core
  3. Curriculum
  4. Module I
  5. Quantitative Reasoning

Courses in quantitative reasoning appropriate to students’ major field. The UCOR 1200 requirement may be fulfilled by MATH 1010 or higher-level courses worth 5 credits.

Sample Sections

Mathematical Reasoning and its Applications

Faculty: Leanne Robertson and David Neel

An introduction to mathematical ideas used in the modern world, with an emphasis on quantitative methods applied to life experiences and on developing problem-solving and critical thinking skills.  Topics include graphing, exponential growth, financial mathematics, probability, and statistics.  Additional topics may include voting theory, graph theory, Fibonacci numbers, geometry, or other mathematical concepts and applications.

Quantitative Literacy and Social Justice

Faculty: Allison Henrich

This course will allow students to gain mathematical skills useful for citizenship.  Topics covered include voting theory, financial math, probability and statistics.  In addition, students will learn why quantitative literacy is important for everyone in our society and explore barriers to achieving this type of literacy. 

Multicultural Mathematics

Faculty: Jim Humphreys

An introduction to mathematical ideas, emphasizing a multicultural, or global, perspective to studying quantitative methods, logical thinking, and algorithmic processes.