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 112.  Topics include algebraic and functional reasoning, graphing, coordinate geometry, the geometry of shapes, measurements, transformations and symmetry, congruence and similarity, descriptive statistics, and an introduction to probability.  Emphasizes constructing concrete models for these concepts and lab work is 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, computing, engineering, or the physical sciences an introduction to mathematical modeling and its applications. Topics may include discrete- and continuous-time deterministic and stochastic models, linearization, bifurcations, chaos, computer simulation and others. Areas of application may include biology, business, engineering, physics, or others chosen by the instructor. 

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.

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.