Master Quantitative Problem Solving (QPS)

Mathematics is beautiful. Despite being the product of man’s purest intellectual pursuit, mathematics is, nonetheless, a very human topic as demonstrated by the beauty we perceive in a nautilus shell or the image of the Vitruvian man. We humans have taken the exact and perfect rules of mathematics as the basis for contributions to everything from science and art to economics and music.

Because many of the other courses depend on the mastery of quantitative analysis, we highly recommend that students complete their quantitative problem solving requirement in their first year at Stony Brook.**Learning Outcomes for “Master Quantitative Problem Solving”**

1. Interpret and draw inferences from mathematical models such as formulas, graphs, tables, or schematics.

2. Represent mathematical information symbolically, visually, numerically, and verbally.

3. Employ quantitative methods such as algebra, geometry, calculus, or statistics to solve problems.

4. Estimate and check mathematical results for reasonableness.

5. Recognize the limits of mathematical and statistical methods.**Standards for “Master Quantitative Problem Solving”**

1. A certified course shall teach a well-defined area of mathematics such as university-level geometry, statistics, or calculus. The course will address at least four of the above Outcomes.

2. MAP courses will not be considered for certification in Mastering Quantitative Problem Solving

As of December 2013, the courses below have been certified as meeting the learning objectives and standards for the QPS category.

- AMS 102 Elements of Statistics
- AMS 103 Applied Mathematics in Modern Technology (also certified as TECH)
- AMS 110 Probability and Statistics in the Life Sciences
- AMS 151 Applied Calculus I
- AMS 161 Applied Calculus II
- EST 194 Patterns of Problem Solving
- MAT 118 Mathematical Thinking
- MAT 122 Overview of Calculus with Applications
- MAT 123 Introduction to Calculus
- MAT 125 Calculus A
- MAT 126 Calculus B
- MAT 127 Calculus C
- MAT 131 Calculus I
- MAT 132 Calculus II
- MAT 141 Honors Calculus I
- MAT 142 Honors Calculus II
- MAT 171 Accelerated Single-Variable Calculus
- PHI 220 Introduction to Symbolic Logic (II)
- POL 201 Introduction to Statistical Methods in Political Science
- PSY 201 Statistical Methods in Psychology
- SOC 202 Statistical Methods in Sociology

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