Mathematics

Degrees and Certificates

Courses

MATH 170: Connections in Mathematical Understanding

This course examines the connections between mathematics and other liberal arts disciplines. Topics for discussion include mathematics in language, philosophy, art of symmetry, perspective, mathematics in movies and literature, daily applications of mathematics, the application of statistics, and practical uses of geometry.

MATH 180: Introduction to Statistical Methods

This course is an introduction to statistics and probability. The methods of description, measures of center and variation, basic experimental design, sampling distributions, normal distributions, confidence intervals, significance tests for one population, and simple linear regression will be covered. Applications to a variety of fields will be used. Not open to students with credit for MATH 383.

MATH 190: Precalculus Mathematics - Algebraic and Transcendental Functions

The course provides an introduction to functions, their behavior, solution, analysis, and application. Algebraic, graphical, numerical, and modeling approaches to analysis of functions, along with appropriate mathematical language, notation, and symbolic manipulation skills, are studied. Functional families studied in this course include polynomial, rational, exponential, radical, logarithmic, trigonometric, and piecewise defined functions. This course is specifically recommended for students who plan to proceed to study calculus. (The course includes five class sessions each week.)

MATH 201: Calculus I

This course is a study of the real number system, equations of a line, functions, limits, and continuity, and of techniques of differentiation and integration applied to maximum and minimum problems and to related rates. (The course includes four hours of class and one laboratory session each week.)

MATH 202: Calculus II

This course focuses on integration and differentiation of log, exponential, trig, and inverse functions. Additional topics include methods of integration, integration by parts, partial fractions, trigonometric substitution, L’HopitaPs rule, sequences, and series.

MATH 203: Calculus III

This course is a study of the calculus of functions of several variables and of vector valued functions. Topics include vectors, partial differentiation and integration, multiple integrals, line and surface integrals, and theorems of vector calculus.

MATH 230 : History of Mathematics

This course is an exploration of the origins and development of mathematics including the philosophy of the mathematical sciences. Mathematical theories and techniques of each period and their historical evolution are examined.

MATH 280: Intermediate Statistical Methods for Data Analysis

The second survey course builds on the statistical foundations from the introductory course. The course covers analysis of variance, multivariate regression, categorical data analysis, non-parametric methods, and time series. Statistical modeling will be conducted using a statistical package. 

MATH 341: Differential Equations

This course is a study of the methods of solution of ordinary and partial differential equations and of applications of differential equations.

MATH 354: Linear Algebra

This course is a study of geometric vectors, matrices and linear equations, real vector spaces, linear transformations and matrices, and inner product spaces.

MATH 383: Mathematical Statistics I

This course is an introduction to probability, basic distribution theory, mathematical expectations, probability densities, and random variables.

MATH 384: Mathematical Statistics II

This course is a study of sampling distributions, point and interval estimation, tests of hypotheses, regression and correlation, and analysis of variance.

MATH 390: Numerical Analysis

This course is a study of numerical methods in evaluating integrals and differential equations, techniques in finding the roots of polynomials, solving systems of linear equations, and matrix manipulation. (This course may be taken for credit as CPSC 390.)

MATH 420: Professional Internship

This course is a professionally supervised experience with off-campus mathematicians, computer scientists, or applied scientists using modem research and/or analytical techniques. Settings may vary from purely academic summer programs to private or public scientific institutions. The number of credits awarded depends on the number of imbedded hours in the internship experience. A minimum of 50 imbedded hours is expected per credit with the maximum number of credit earned is eight.