Q Courses: the Quantitative Requirement

Each of the courses listed below has quantitative methods and concepts as a significant component of the course. Each Q course has a certain level of mathematical facility as a prerequisite. This facility must be demonstrated by a satisfactory grade on the Quantitative Placement Examination or by completing the assistance program designed by the Director of Quantitative Skills.

 BIO 102

Organismal Biology

BIO 206


CHEM 102

Basic Prin. Of Chemistry II

CMSC 141

Computer Science I

CMSC 142

Computer Science II

CMSC 201

Computer Science III

CMSC 220

Non-Standard Computation

CMSC 305

Design of Programming Language

CMSC 352

Biologically-Inspired Machine Learning

ECON 102

Introduction to Microeconomics

MATH 107

Topics in Geometry

MATH 110

Precalculus Mathematics

MATH 111

Calculus of a Single Variable

MATH 114

Multivariable Calculus

MATH 125

Statistics and Probability

MATH 135

Game Theory

MATH 242

Elementary Linear Algebra

MATH 332

Abstract Algebra

NSCI 235

Energy & Entropy

NSCI 182

Acoustics, Physics & Music

PHYS 102

Introduction to Physics II