Quantitative Literacy Across the Curriculum

Courses

Quantitative Literacy is competency and comfort working with numerical data.

Individuals with strong QL skills can

  • reason and solve quantitative problems from a wide array of contexts and everyday life situations.
  • understand and create sophisticated arguments supported by quantitative evidence
  • communicate those arguments in a variety of formats, including words, tables, graphs, and mathematical equations, as appropriate.

Instructional Objectives:

  • Interpret: provide accurate explanations of information presented in mathematical forms and make appropriate inferences based on that information.
  • Represent: skillfully convert relevant information into a mathematical portrayal in a way that contributes to further or deeper understanding.
  • Calculate: complete virtually all calculations successfully and comprehensively in order to solve the problem. Present calculations elegantly (clearly, concisely, etc.).
  • Apply/Analyze/Model: use the quantitative analysis of data as the basis for thoughtful judgments, drawing carefully qualified conclusions from this work. Explicitly describe assumptions, provide compelling rationale for why each is appropriate, and demonstrate awareness that the final conclusion is limited by the accuracy of the assumptions.
  • Communicate: use quantitative information in connection with the argument or purpose of the work, present it in an effective format, and explicate it with consistently high quality.

Minimum criteria for course approval:

  • Explicitly address each of the objectives listed above via multiple delivery methods (e.g. lecture, discussion, lab and homework exercises) throughout the semester.
  •  Employ multiple tools to assess students’ progress across the semester.