This is an entry-level course appropriate for most college students that emphasizes mathematical reasoning in everyday experiences. The geometry unit deals with form, growth, size, and patterns found in living populations and created art. The mathematics of social choice studies techniques of decision-making, voting, and optimizing alternatives. Operations research discusses algorithms for scheduling, planning, and creating networks. Standard statistical measures also are studied and interpreted. This course is designed for any student who does not need the technical vocabulary of trigonometry or analytic geometry. A student may not receive credit for Applied Mathematics after receiving credit for any course numbered 112 or above.

An introduction to set theory, problem-solving, geometry, algebra, probability and statistics, with selected applications for each. The course satisfies teacher certification requirements.

A study of polynomial, rational, trigonometric, and exponential functions and their applications. The nature of functions, equation-solving, solution estimation, graphing, and mathematical modeling will be emphasized. A student may not receive credit for Functions, Graphs and Analysis after receiving credit for any other course numbered 112 or above.

Methods of determining averages, variability, and correlation, and of testing the significance of the statistics, prediction, and distribution-free statistics. A student may not receive credit for Elementary Statistics after receiving credit for any other statistics course.

The main topics covered are Boolean algebra, logic, sets, graph theory, combinatorics, number systems, probability, coding, information theory, recurrence relations, and algorithms. This course cannot be taken for credit after MATH 121.

A study of coordinate systems; straight lines and conic sections; theory of limits; differentiations of algebraic functions; applications to slopes and curves; and maxima and minima.

A study of transcendental functions, infinite series, mean-value theorem, polar coordinates, integration, and application of integration. Students completing this course with a  grade of C or better will be awarded credit for MATH 112.

A study of logic, proofs, and sets; graphs, digraphs, trees, colorings, and traversal; permutations and combinations; binomial coefficients; and recurrence relations.

An examination of linear equations, matrices, vector spaces, transformations, and eigensystems.

An introduction to the branches of geometry including plane, solid, higher dimensional, fractal, transformational, non-Euclidean, and combinatorial.

A study of curvilinear motions, solid analytic geometry, vectors, partial derivatives, and multiple integration. Students completing this course with a grade of C or better will be awarded credit for MATH 112 and 113 if not previously taken.

Course Description: This course is designed to help students prepare for a career in the actuarial sciences, and to help students learn material covered on the first actuarial examination. Topics will include:

1. Limits, series, sequences, and functions,
2. Derivatives of single and multivariate functions (maximums, minimums, constrained maximums and minimums, rate of change),
3. Integrals of single and multivariate functions, simple differential equations,
4. Parameterized curves,
5. General probability (set functions, basic axioms, independence),
6. Bayes' Theorem,
7. Univariate probability distributions (probabilities, moments, variance, mode, percentiles, transformations),
8. Multivariate probability distributions (Central Limit Theorem; joint, conditional and marginal distributions-probabilities, moments, variance, covariance),
9. Theory of interest and finance.

A course of variable content for lower-level students. Recent topic offerings have included logic, problem solving, and actuarial science. Topics will not duplicate material covered in other courses.

An introduction to discrete probability including combinations and permutations; conditional probability and independence; random variables; and expectation.

Data collection and analysis; continuous and discrete distributions; Central Limit Theorem; sampling theory; confidence intervals and estimation theory; regression analysis and correlation including multiple linear regression models and hypothesis testing and confidence intervals in regression models; chi-square test of independence and other non-parametric statistical tests; time series models and forecasting, linear time series models, moving average and autoregressive models, estimation, data analysis, index numbers, and forecasting with time series models, forecasting errors and confidence intervals, and application of statistics to significant real-world data. This course carries VEE credit for actuaries.

A study of common types of ordinary differential equations, their solutions and applications, singular solutions, and an introduction to mathematical modeling.

A study of differential equations, partial differential equations, vector analysis, Laplace transforms, Fourier transforms, and vector analysis. Most spring semesters.

Fundamental concepts of analysis, limits, continuity, differentiation, and integration. Major topics include the real number system, sequences, series, the Riemann integral, and the Generalized Riemann integral.

A continuation of Mathematics 309, this course is an introduction to complex analysis, including the Cauchy-Riemann Equations, Cauchy's Theorem, residue theory, and conformal mapping.

A study of groups, Lagrange's theorem, normal subgroups, fields, rings, integral domains, subrings, ideals, and vector spaces.

A continuation of Abstract Algebra I, concentrating on topics in ring theory and field theory, including applications. Specially arranged, odd numbered years.

Students independently pursue a significant problem under the guidance of a faculty member. Results are submitted in a written paper and presented orally for the department.

A study of teaching methods and instructional materials in mathematics. Special attention is given to the selection and organization of subject matter and learning activities. Field work required.

Independent study in a topic of interest in mathematics which does not duplicate any other course in the regular course offerings.

An examination of topics such as topology, number theory, dynamical systems, game theory, history of mathematics, and logic.

An opportunity to conduct research in mathematics, culminating in a research paper.