Available courses

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.

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

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 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.

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 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.

Designed to give students majoring in mathematics, engineering, the physical sciences, or business an introduction to the practice and theory of optimization. Topics include constrained and unconstrained optimization, optimality conditions, convexity, and duality.  Additional topics may include semidefinite programming, integer programming, combinatorial optimization, and stochastic optimization. Applications of optimization will be explored in a variety of disciplines. Students will implement standard algorithms as well as utilize commercial solvers. Offered odd years.

Designed to provide advanced students the opportunity to study topics of interest from outside the typical undergraduate mathematics curriculum.

Continuation of MATH 497. Students will critique the oral reports given in MATH 497, expand on their research if necessary, and prepare a professionally formatted scholarly paper in consultation with their assigned faculty research supervisor.