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Faculty Senate

Quantitative literacy (Q) designation

BS graduation requirements | Quantitative literature goal | Q course objectives
Q approval guidelines | Obtaining Q designation process w/forms

 

BS graduation requirement

The WOU requirement for students seeking a bachelor of science degree is completion of a combined total of 12 credit hours in mathematics, computer science, and/or a designated quantitative literacy course (Q) course. A minimum of one course in mathematics at the level of MTH 111 or above and one course in computer science is required. The remaining required credit hours may be from either discipline or designated quantitative literacy courses. CS 101 may not be used to meet any portion of this 12 credit requirement. Quantitative literacy courses used to complete this requirement carry a special Q designation in the schedule of classes and on the transcript.

 

Goal of quantitative literacy

The goal of Quantitative Literacy (Q) courses at WOU is to expose students to the wide range of applications of mathematics and/or statistics in various disciplines and to produce students who are proficient in a core set of mathematical competencies (e.g. reasoning, argumentation, communication, modeling, representation).

 

In a Q course, college level mathematical and/or statistical concepts will be developed and used as an integral part of the course. The course should provide ongoing opportunities for the student to develop the mathematical/statistical skills and investigate the role, application, and limitations of the specific mathematical and/or statistical concepts in the relevant discipline.

 

It is highly recommended that MTH111 is a pre-requisite for a Q course.

 

Objectives of a Q course

The objectives of a Q course should include the following:

  • Students will use college level mathematics* in the discipline to model problems, represent, interpret, and analyze information
  • Students will communicate in mathematical terms
  • Students will learn to recognize the limitations of mathematical and statistical methods

* College level mathematics is mathematics with a content level of MTH 105 or above.

 

Guidelines for Q approval

Students must have regular, frequent, assessable opportunities to use the mathematical and/or statistical related concepts.

  1. The mathematical content should relate in a meaningful way to the discipline and should further the student's knowledge both in the discipline and in the mathematical concepts.
  2. One of the following must apply:
    • i. The primary focus of the class should be the mathematical content (i.e., the percent of the course grade based on mathematical concepts is at least 75%) OR
    • ii. The student is required to complete a product that requires them to complete a significant exercise or exercises applying the quantitative concepts and (for statistics) evaluating their validity AND at least 33% of the course grade is based on the mathematical component of the class
  3. Courses designated as Q can also be taught without that designation.

* Courses basing their approval for Q on covering statistical concepts should cover most of the following topics:

  • random variables
  • probability
  • sampling methods
  • hypothesis testing
  • properties of the normal distribution
  • z-scores and their uses
  • regression
  • correlation

 

Process for obtaining Q designation for a course

The Faculty Senate's Academic Requirements Committee (ARC) recommends the Q designation for courses based on statements and syllabi submitted by individuals or departments. A completd Q form should be submitted to the chair of the ARC. Please attach a syllabus and supporting documents to facilitate the process. Useful supporting materials are anything that could help the committee determine the level of mathematical content and percent of course grade dependent on mathematics. Examples include copies of exams, the table of content of books used in the course, detailed project guidelines and scoring rubrics, etc.

Contact

Faculty Senate 503-838-8519 | or e-mail: keulksg@wou.edu

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