You are here: Quantitative Literacy

Quantitative Literacy

The AU Core includes a two-part Quantitative Literacy requirement that aims to prepare students for an increasingly quantitative and data-dense world. Students in Quantitative Literacy I (Q1) will have the opportunity to strengthen their mathematical or statistical skills. In Quantitative Literacy II (Q2), students will continue to practice and refine their quantitative skills, but they will do so usually in the context of a particular discipline.

 

Quantitative Literacy I (Q1)

Students may satisfy the Quantitative Literacy (Q1) requirement by:

  • Completing an appropriately designated Quantitative Literacy I course with a grade of C or better.
  • Students with transfer credit may also satisfy the Quantitative Literacy I requirement by presenting 3 credit hours from an AG rated collegiate institution of articulated credit equivalent to a Quantitative Literacy I course.

Quantitative Literacy II

Q2 courses should add depth or otherwise extend instructional outcomes from Q1 courses. In a Q2 course offered within an academic department or school the goals of instruction would likely stress applications within a discipline or specialization. Although most majors will designate a specific course or courses in the major as a required Q2, any Q2 may be applied toward the university's graduation requirement.

Students may satisfy the Quantitative Literacy II (Q2) requirement by completing an appropriately designated Quantitative Literacy II course with a grade of "C" or better.

  • Q2 courses may count towards AU Core and a major/minor requirement.
  • A single course cannot be used to satisfy both Q1 and Q2.
  • Brand new or revised courses get added each semester. Refer to the drop-down menu for the appropriate semester to learn what’s been added or confirm which courses can be used to satisfy the Q2 requirement. Prior iterations of approved courses will not satisfy the requirement.

Quantitative Literacy I (Q1)

  1. Students will solve quantitative problems including approaches that go beyond memorized procedures.
  2. Students will demonstrate an understanding of mathematical relationships from multiple perspectives, such as functions from graphical, verbal, numerical, and analytic points of view.
  1. MATH-151: Finite Mathematics
  2. MATH-155: Elementary Mathematical Models
  3. MATH-160: Applied Precalculus
  4. MATH-170: Precalculus Mathematics
  5. MATH-196: The Math Workshop
  6. MATH-211: Applied Calculus I
  7. MATH-221: Calculus I
  8. MATH-222: Calculus II
  9. STAT-196: Statistical Reasoning
  10. STAT-202: Basic Statistics
  11. STAT-203: Basic Statistics with Calculus
  12. STAT-204: Introduction to Business Statistics
  13. STAT-302: Intermediate Statistics
  14. STAT-320: Biostatistics
  1. MATH-125: The Math Workshop
  2. MATH-151: Finite Mathematics
  3. MATH-155: Elementary Mathematical Models
  4. MATH-160: Applied Precalculus
  5. MATH-170: Precalculus Mathematics
  6. MATH-211: Applied Calculus I
  7. MATH-221: Calculus I
  8. MATH-222: Calculus II
  9. STAT-160: Statistical Reasoning
  10. STAT-202: Basic Statistics
  11. STAT-203: Basic Statistics with Calculus
  12. STAT-204: Introduction to Business Statistics
  13. STAT-302: Intermediate Statistics
  14. STAT-320: Biostatistics

Quantitative Literacy II (Q2)

  1. Translate real-world questions or intellectual inquiries into quantitative frameworks.
  2. Select and apply appropriate quantitative methods or reasoning.
  3. Draw appropriate insights from the application of a quantitative framework.
  4. Explain quantitative reasoning and insights using appropriate forms of representation so that others could replicate the findings.
  • CHEM-410: Biophysical Chemistry
  • COMM-260: Quantitative Methods for Journalists
  • COMM-378: Introduction to Communication Research Methods
  • CSC-121: Creative Coding
  • CSC 281: Intro to Computer Science II
  • CSC-310: Introduction to Geographic Information Systems
  • ECON-322: Applied Econometrics I
  • ENVS-455: Environmental GIS
  • FIN 365: Business Finance
  • GDES-360: Data Visualization and Information Design
  • GOVT-310: Introduction to Political Research
  • HLTH-340: Fundamentals of Epidemiology
  • ITEC 355: Operations Management
  • JLC-280: Introduction to Justice Resarch
  • MATH 222: Calculus II
  • MATH 365: Hidden Connections
  • PHIL-200: Introduction to Logic
  • PHYS-200: Light, Sound, Action
  • PHYS 310: Electronics
  • PHYS-326: Physics for Future Presidents
  • PSYC 313: Applications of Statistics in Psychology
  • STAT 302: Intermediate Statistics
  • STAT-312: Data Science Applications
  • STAT 320: Biostatistics