Available courses

Designed for students who enter university without having met the mathematics entrance requirements of a one-year course in high school Algebra II. Topics include sets, numbers, exponents, polynomials, factoring rational algebraic expressions, graphs, first and second degree equations, and inequalities.

Designed to give the liberal arts student an overview of the various ways mathematics is used in a modern society. Topics include the mathematics of finance, logic, sets and counting, probability, and descriptive statistics. Additional topics are selected from linear equations and systems of linear equations, matrices, linear programming, and game theory.

Designed for students in health-related majors, the social sciences, business, or other fields in which a basic knowledge of statistical methods is required. Topics include sampling, descriptive statistics, probability, the normal and binomial distributions, confidence intervals and hypothesis testing for means and proportions, and chi-square tests. Additional topics may include simple linear regression, simulation, and one-way analysis of variance. Computer-based lab activities are required.

Designed for students in health-related majors, the social sciences, business, or other fields in which a basic knowledge of statistical methods is required. Topics include sampling, descriptive statistics, probability, the normal and binomial distributions, confidence intervals and hypothesis testing for means and proportions, and chi-square tests. Additional topics may include simple linear regression, simulation, and one-way analysis of variance. Computer-based lab activities are required.

Designed for students majoring in scientific or technical fields who need a knowledge of college algebra, or for students preparing to take Calculus I. Topics include integer, rational, real, and complex numbers; solving equations and inequalities; and algebraic, exponential, and logarithmic functions and their graphs.

Designed for students majoring in mathematics, engineering, or the physical sciences, or for those seeking a rigorous introduction to Calculus with early transcendentals. Topics include limits, continuity, derivatives, and applications. Includes formal definitions and proofs.

Designed for students majoring in mathematics, engineering, or the physical sciences, or for those seeking a rigorous introduction to Calculus with early transcendentals. Topics include limits, continuity, derivatives, and applications. Includes formal definitions and proofs.

A continuation of MATH 171. Topics include definite and indefinite integrals, L’Hôpital’s rule, techniques and applications of integration, and an introduction to differential equations. Includes formal definitions and proofs.

Designed to introduce students majoring in mathematics, computing, engineering, or the physical sciences to the concepts of linear algebra. Topics include systems of linear equations, matrices, linear transformations, determinants, eigenvalues and eigenvectors, vector spaces, basis and dimension, and Euclidean n-space.  Additional topics may include the inner product, orthogonal projections, and least squares.

A continuation of MATH 172. Topics include sequences, series, tests for convergence, Taylor and Maclaurin series, polar coordinates, parametric equations, and vector calculus. Includes formal definitions and proofs.

Designed for students majoring in mathematics, engineering, or the physical sciences, or for those seeking a calculus-based survey of probability and statistics. Topics include combinatorics, probability distributions and densities, mathematical expectation, functions of random variables, sampling distributions, interval estimation, hypothesis testing, linear regression, and analysis of variance.

A continuation of MATH 315. Topics include decision theory, methods of estimation and properties of estimators, the theoretical underpinnings of hypothesis testing, multiple linear regression, the design and analysis of experiments, and nonparametric statistical tests.

Designed to provide students majoring in mathematics with an introduction to real analysis. Topics include the development of the real number system, the completeness axiom, basic point-set topology, sequences and series, continuity, differentiation, integration, sequences of functions, and uniform and pointwise convergence.

Designed to prepare students to participate in the William Lowell Putnam Mathematical Competition. Topics include problem solving, with an emphasis on both oral and written communication. Students are required to take the William Lowell Putnam exam, held annually in early December, as a part of the class.

Designed for senior mathematics majors as the capstone experience in the major. Students will read and discuss a scholarly paper of current interest in the instructor’s field of mathematics, identify potential career paths resulting from a degree in mathematics, and select a topic for investigation in MATH 497.