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 to help the prospective elementary school teacher develop a deep understanding of topics typically covered in the K-8 mathematics curriculum. Topics include problem solving strategies; sets; numeration systems; arithmetic for whole numbers, integers, rational numbers, and real numbers using multiple algorithms; elementary number theory; proportions; and percents. Emphasizes constructing concrete models for these concepts and lab work is 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.

A continuation of MATH 121.  Topics include trigonometric functions and their graphs, trigonometric identities, matrices, determinants, sequences, mathematical induction, and the binomial theorem.

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 the mathematically inclined student to the process of statistical investigation and the use of statistical software packages. Topics include descriptive statistics; sampling; estimation and hypothesis testing; simple and multiple linear regression models; and linear time series models including estimation, data analysis, and forecasting. Substantial projects using real-world data are required.

Designed to introduce students in the mathematical and computational sciences to discrete mathematical structures and to act as a transition to higher mathematics and computer science courses.  Topics include symbolic logic, methods of proof, sets and functions, combinatorics, recursion, graph theory, and trees.  Emphasizes mathematical reasoning and proof writing.

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.

A continuation of MATH 273. Topics include differential and integral calculus of multi-variable functions, line and surface integrals, Green's theorem, the divergence theorem, and Stokes' theorem. Includes formal definitions and proofs of standard theorems. 

Designed to introduce students majoring in mathematics, engineering, or the physical sciences to ordinary differential equations. Topics include linear and non-linear first order equations and systems of equations, higher order linear equations, elementary phase plane analysis, and Laplace transform techniques. Additional topics may include elementary numerical techniques, nonlinear dynamics, power series methods, and modeling. 

Designed to give students majoring in mathematics, computing, engineering, or the physical sciences an overview of numerical methods of analysis with computer applications.  Topics include numerical solutions of nonlinear equations, numerical solutions of differential equations, and numerical integration.  Other topics may include interpolation and numerical solutions to systems of equations.

Continuation of MATH 496.  Each student will conduct an independent investigation in some field of mathematics in consultation with an assigned faculty research supervisor. Students will additionally observe and reflect on mathematics presentations given by the faculty as they prepare their own oral report on their research.