Quantitative reasoning is a versatile and powerful way to understand the world. Graduates of Willamette University should be conversant with mathematics and quantitative reasoning, and should learn to apply quantitative reasoning to understand and solve everyday problems. Formal reasoning and logic are central to decision-making in an uncertain world and are essential to a liberal arts education.

To satisfy the Quantitative and Analytical Reasoning requirement, students will be required to receive two credits. At least one of these credits must be designated by an asterisk (*) in the following list. Courses with the asterisk (*) designation are designed to expand students' quantitative boundaries and provide them with the skills necessary to interpret and apply mathematics.

The other courses designated to fulfill this requirement are those in which quantitative reasoning and/or mathematical analysis are at the core of understanding the context of the course. These courses may be disciplinary-based applications of quantitative methodology, like physics or computer science, or may be mathematics and statistics courses. Whether applied or theoretical, the key characteristic of these courses is that the concepts in them cannot be grasped without an understanding of quantitative methods. Students in these courses should:

- Gain the ability to interpret and draw inferences from mathematical and formal models such as formulas, graphs, tables, and schematics
- Gain the ability to represent logical and mathematical information symbolically, visually, numerically, and verbally
- Gain the ability to employ methods such as arithmetic, algebra, geometry, statistics, or formal rules to solve problems
- Gain the ability to check mathematical results and other conclusions for reasonableness
- Gain the ability to recognize the limits of mathematical, statistical, or formal methods

The following courses are currently approved by the faculty to meet the Quantitative and Analytical Reasoning requirement (minimum grade of C- required):

- BIOL 470 (QA) Special Topics: Biostatistics
- CHEM 116 (QA; NW) Introductory Chemistry II
- CS 141 (QA*) Introduction to Programming
- CS 145 (QA*) Images and Imagination
- CS 241 (QA) Introduction to Computer Science: Data Structures
- ECON 230 (QA*) Economic Statistics
- ECON 452 (QA) Introduction to Econometrics and Forecasting
- ERTH 121 (QA; NW) Earth System Science
- ERTH 333 (QA) Geographic Information Systems
- ERTH 347 (QA) Earth's Climate: Past, Present, and Future
- EXSCI 347 (QA) Biomechanics (
*QA**effective Spring 2016*) - IDS 138 (QA*) Introduction to Applied Statistics
- MATH 130 (QA*) Contemporary Mathematics
- MATH 140 (QA*) Modeling with Calculus
- MATH 138 (QA*) Statistics
- MATH 151 (QA*) Accelerated Calculus I
- MATH 152 (QA*) Accelerated Calculus II
- MATH 153 (QA*) Sequences and Series
- MATH 163 (QA*) Discrete Mathematics
- MATH 239 (QA*) Accelerated Statistics
- MATH 249 (QA*) Multivariable Calculus*
- MATH 253 (QA) Linear Algebra
- MATH 256 (QA) Differential Equations
- MATH 266 (QA*) Probability and Statistics
- PHIL 140 (QA*) Symbolic Logic
- PHYS 110 (QA; NW) Astronomy
- PHYS 221 (QA; NW) Introductory Physics I
- PHYS 222 (QA; NW) Introductory Physics II
- PSYC 252W (QA) Research Methods and Analysis I
- PSYC 253 (QA*) Research Methods and Analysis II
- SOC 231 (QA*) Social Statistics
- SOC 401W (QA) Quantitative Methods in Social Research

** Successful completion of MATH 249 fulfills both QA/QA* General Education Requirement*s