MATH - Mathematics

MATH 0097. Developmental Math 1 (4-0-(4)) Review of basic mathematics and introductory algebra with emphasis on applications, including linear functions and related topics. Non-degree credit.

MATH 0098. Developmental Math 2 (4-0-(4)) Prerequisite: MATH 0097 or required COMPASS score. Review of essential topics of basic algebra with emphasis on applications, including linear and quadratic functions and related topics. Non-degree credit.

MATH 1101. Mathematical Modeling (3-0-3) Prerequisite: High School Algebra 2 or its equivalent. This course is an introduction to mathematical modeling using graphical, numerical, symbolic, and verbal techniques to describe and explore real-world data and phenomena. Emphasis is on the use of elementary functions to investigate and analyze applied problems and questions, supported by the use of appropriate technology, and on effective communication of quantitative concepts and results.

MATH 1111. College Algebra (3-0-3) Prerequisites: Satisfactory Mathematics Placement Test score and High School Algebra 2. This course is a functional approach to algebra that incorporates the use of appropriate technology. Emphasis will be placed on the study of functions, and their graphs, inequalities, and linear, quadratic, piece-wise defined, rational, polynomial, exponential, and logarithmic functions. Appropriate applications will be included.

MATH 1112. Trigonometry with Analytical Geometry (3-0-3) Circular functions, solutions of triangles, trigonometric identities and equations, graphs of trigonometric functions, Law of Sines, Law of Cosines, applications, vectors, complex numbers, Euler's formula, DeMoivre's theorem, and conic sections.

MATH 1113. Pre-Calculus (3-0-3) This course is designed to prepare students for calculus, physics, and related technical subjects. Topics include an intensive study of algebraic and transcendental functions accompanied by analytic geometry.

MATH 1125. Applied Calculus (3-0-3) Prerequisite: MATH 1111 or MATH 1113. Introduction to limits and continuity, differential calculus of algebraic, exponential, and logarithmic functions and partial derivatives; introduction to integration and qualitative behavior of differential equations. Applications in the fields of the behavioral, biological, and managerial sciences are included.

MATH 1127. Introductory Statistics (3-0-3) Prerequisite: High School Algebra 2 or its equivalent. Survey of modern statistical methods applicable to behavioral, biological, health and managerial sciences, and education. Organization and analysis of data, probability distributions, sampling distributions, point estimation, confidence interval, hypothesis testing, and regression analysis.

MATH 1131. Calculus with Analytic Geometry 1 (4-0-4) Prerequisite: MATH 1112 or MATH 1113. Topics include analytic geometry, introduction to limits and derivatives, computation and application of derivatives, integrals, exponential and logarithmic functions.

MATH 1132. Calculus with Analytic Geometry 2 (4-0-4) Prerequisite: MATH 1131. Topics include improper integrals, infinite series, techniques of integration, and applications of integration.

MATH 1165. Computer-Assisted Problem Solving (3-0-3) Prerequisite or Co-requisites: MATH 1125 or MATH 1131. Problem solving using contemporary technology such as graphing calculators, spread sheets, and computer algebra systems. Topics may include interpolation; linear regression; elementary differential models; and an introduction to the fundamentals of computer algebra systems, including manipulation of lists, sets, data structures, functions, plots, and program control structures.

MATH 2115. Introduction to Linear Algebra (3-0-3) Prerequisite or Co-requisite: MATH 1131. Systems of linear equations, matrix algebra, vector spaces, bases for a vector space, linear transformations, eigenvalues and eigenvectors, and matrix decompositions.

MATH 2131. Nature and Use of Numbers 1 (3-0-3) An exploration of basic concepts and operations of rational numbers and generalizations to algebra. Problem solving. Appropriate technology will be used. This course will not count for mathematics minors or majors or for secondary mathematics education majors.

MATH 2135. Calculus with Analytic Geometry 3 (4-0-4) Prerequisite: MATH 1132 with a grade of "C" or better. Topics include real valued functions of several variables, differential calculus of functions of several variables, multiple integration, vector field theory, Green's Theorem, Divergence Theorem, and Stokes' Theorem.

MATH 2155. Foundations for Advanced Mathematics (3-0-3) Prerequisite: MATH 1132. Topics include fundamentals of logic, techniques of proof, sets and relations, well ordering and mathematical induction, and functions.

MATH 2175. Introduction to Probability (3-0-3) Prerequisite: MATH 1132. Topics include counting techniques, discrete and continuous random variables, discrete, continuous and multivariate probability distributions, and functions of random variables. Appropriate uses of technology will be implemented to analyze data and to simulate random variables from specified probability distributions. Applications of probability.

MATH 3105. Vector Analysis (3-0-3) Prerequisite: MATH 2135. This course covers material from vector calculus used in physics and in engineering. Topics will include line, surface, and volume integrals; vector fields, gradients, divergence, and curl; the theorems of Green, Gauss, and Stokes; generalized orthogonal coordinates; and selected applications from physics and engineering.

MATH 3107. Differential Equations (3-0-3) Prerequisite: MATH 1132 with a grade of "C" or better and MATH 2115 with a grade of "C" or better. Analytic, qualitative, and numerical techniques for ordinary differential equations. Eigenvalue method and matrix exponential for solving linear systems. Laplace transform methods. Use of appropriate software and technology.

MATH 3125. Discrete Mathematics (3-0-3) Prerequisites: ATH 1132 and CPSC 1301. Review of set algebra including mapping and relations. Counting methods, permutations, combinations, and recurrence relations. Elements of the theory of directed and undirected graphs. Applications of trees and sorting algorithms.

MATH 3131. Nature and Use of Numbers 2 (3-0-3) Prerequisite: MATH 2131 or Admission to Middle Grades Teacher Education Program. An exploration of basic concepts and operations of real numbers and generalizations to algebra. Problem solving. Appropriate technology will be used. This course will not count for mathematics minors or majors or secondary mathematics education majors.

MATH 3135. Data Analysis, Statistics and Probability (3-0-3) Prerequisite: MATH 2131 and Admission to Early Childhood Teacher Education Program. An exploration of data collection, data representation, data analysis, and probability. This course will not count for mathematics minors of majors or secondary mathematics education majors.

MATH 3136. Exploring Geometry and Measurement (3-0-3) Prerequisite: MATH 2131 and Admission to Early Childhood Teacher Education Program. An exploration of geometry and measurement topics through the use of a variety of tools. Topics include formal definitions, elementary constructions, ratio and proportion, and area and volume. This course will not count for mathematics minors or majors or for secondary mathematics education majors.

MATH 3137. Investigative Geometry and Measurement (3-0-3) Prerequisite: Math 3131. An exploration of geometry and measurement topics through the use of a variety of tools. Course focuses on generating hypotheses and using deductive reasoning to test hypotheses. This course will not count for mathematics minors or majors or for secondary mathematics education majors.

MATH 3138. Exploring Statistics (3-0-3) Prerequisite: MATH 1113 or MATH 3131 or Admission to the Secondary Mathematics Education Program. An exploration of various concepts in probability and statistics. Topics include experimental and theoretical probabilities, probability distributions, sampling, hypothesis testing, correlation and analysis of variance. Appropriate statistical software will be used in this course.

MATH 3555. Advanced Topics in Mathematics (3-0-3) Prerequisite: MATH 3137. An exploration of various selected topics in mathematics, such as polynomial functions, conics, right triangle trigonometry, limits, sequences, rate of change, discrete mathematical models, and iterative and recursive techniques. This course will not count for mathematics minors, or majors or secondary mathematics education majors.

MATH 4555. Selected Topics in Mathematics for Teachers (3-0-3) Prerequisites: MATH 1101 and MATH 1113. Topics will be suitable for elementary and middle school teachers. Mathematics majors may not receive credit for this course.

MATH 4795. Senior Seminar in Mathematics (2-0-2) Prerequisites: MATH 2155 and Senior Standing. Readings and presentations in selected topics in mathematics. May be repeated for credit.

MATH 5111. Introduction to Abstract Algebra 1 (3-0-3) Prerequisite: MATH 2155 with a grade of "C" or better. Groups, subgroups, group homomorphisms, and Lagrange's Theorem.

MATH 5112. Introduction to Abstract Algebra 2 (3-0-3) Prerequisite: MATH 5111 with a grade of "C" or better. A continuation of group theory as well as study of rings, integral domains, and fields.

MATH 5115. Linear Algebra (3-0-3) Prerequisites: MATH 2115 with a grade of "C" or better and MATH 5111 with a grade of "C" or better. Linear transformations and vector spaces over various fields.

MATH 5116. Number Theory (3-0-3) Prerequisite: MATH 2155. Congruences, algebraic number fields, and prime number theorems.

MATH 5117. Applied Multivariate Analysis (3-0-3) Prerequisites: MATH 1127 and MATH 2115. Applied multivariate methods, sample correlations, multivariate date plots, eigenvalues and eigenvectors, principle components analysis, factor analysis, discriminant analysis, logistic regression methods, cluster analysis, mean vectors and variance-covariance matrices, multivariate analysis of variance, prediction models.

MATH 5118. Applied Nonparametric Methods (3-0-3) Prerequisites: MATH 1127 and MATH 2175. Rank tests of comparing two treatments, comparing two treatments or attributes in a population model, blocked comparisons for two treatments, paired comparisons in a population model and the one-sample problem, the comparison of more than two treatments, randomized complete blocks, tests of randomness and independence.

MATH 5119. Applied Categorical Data Analysis (3-0-3) Prerequisites: MATH 1127 and MATH 2175. Sampling distributions, two by two contingence tables, Simpson's paradox and 2�3 Tables, Goodman's full rank interaction analyzed for two way tables, further examples and extensions, conditional independence models for two-way tables, further topics.

MATH 5135. College Geometry (3-0-3) Prerequisite: MATH 1132. Axiomatic development of plane geometry and discussion of non-Euclidean geometry.

MATH 5151. Introduction to Real Analysis 1 (3-0-3) Prerequisite: MATH 2155 with a grade of "C" or better. Topology of Euclidean spaces, sequences, limits of sequences, convergent sequences, monotone sequences, Cauchy sequences, limits of functions, continuous functions, the derivative, the Mean Value Theorem, L'Hospital's rule, and Taylor's theorem.

MATH 5152. Introduction to Real Analysis 2 (3-0-3) Prerequisite: MATH 5151 with a grade of "C" or better. The Riemann Integral, the properties of the Riemann Integral, the Fundamental Theorem of Calculus, Infinite Series, convergence of infinite series, convergence tests, power series, sequences and infinite series of functions.

MATH 5165. Numerical Analysis (3-0-3) Prerequisites: MATH 1132, MATH 2115, and CPSC 1301. Use of computers to solve mathematical problems. Topics may include root finding, interpolation, numerical differentiation and integration, solutions to initial value problems in ordinary differential equations, and direct and iterative methods for solving linear systems. Error analysis. Use of appropriate software and technology.

MATH 5166. Game Theory (3-0-3) Prerequisites: MATH 2115 and MATH 2175. Two and N-Person games, Solution concepts and methods, applications. Use of appropriate technology..

MATH 5175. Mathematical Statistics (3-0-3) Prerequisite: MATH 2175. Statistical inference, estimation, tests of statistical hypotheses, multivariate distributions, linear regression. Appropriate computational devices and statistical software will be used.

MATH 5176. Statistical Design and Analysis of Experiments (3-0-3) Prerequisite: MATH 1127 and MATH 2175. Completely randomized designs, treatment comparisons, diagnosing agreement between the data and the model, experiments to study variances, factorial treatment design and applications. Appropriate statistical software will be used.

MATH 5177. Applied Regression Analysis (3-0-3) Prerequisite: MATH 1127 and MATH 2175. Simple and multiple regression, transformation of variables, diagnostic procedures, analysis of variance and residuals, comparison of two multiple regression models, calibration and regulation for linear regression, linear splines, subset analysis and variable selection, nonlinear regression. Appropriate statistical software will be used.

MATH 5185. History of Mathematics (3-0-3) Prerequisite: MATH 1132. This course is designed to acquaint the student with the development of the discipline of mathematics in various cultures from antiquity to modern times. Special emphasis will be given to the evolutionary and Multicultural character of the principal ideas of modern mathematics.

MATH 5555. Selected Topics in Mathematics (3-0-3) Prerequisite: MATH 2155. Topics for this course will vary. May be repeated for credit with consent of the advisor and if topics are different.

MATH 6505. Selected Topics in Mathematics for Teachers (3-0-3) Prerequisite: Approval of Department Chair. Topics will be suitable for elementary and middle school teachers. Mathematics majors may not receive credit for this course.