Review of fundamentals; operations and properties of rational and real numbers; solutions and linear equations and applications; graphing linear equations and inequalities in two variables; solving systems of linear equations; exponents and polynomials; factoring polynomials; simplifying rational and radical expressions; solving fractional, radical, and quadratic equations. Three semester hours will be added to the degree program of any student required to take this course. Open only to students whose Math ACT is less than 19.

This course consists of instructor-supervised learning sessions designed to supplement course material for Math 1009. This course provides small group sessions where students will study and work together. This course may not be used for University credit. Students will be awarded a grade of Credit or No Credit. Prerequisite: MATH ACT of 16-18 and concurrent enrollment in Math 1009.

This course consists of instructor-supervised learning sessions designed to supplement course material for MATH 1011. This course provides small group sessions where students will study and work together. This course may not be used for university credit. Students will be awarded a grade of Credit or No Credit. Prerequisite(s): MATH ACT score 16-18 and concurrent enrollment in MATH 1011.

This course consists of instructor-supervised learning sessions designed to supplement course material for MATH 1007. This course provides small group sessions where students will study and work together. This course may not be used for university credit. Students will be awarded a grade of Credit or No Credit. Prerequisites: MATH ACT score 16-18 and concurrent enrollment in MATH 1007.

Selected topics from contemporary mathematics including logic, graph theory, set theory, number theory, probability, statistics, voting theory, geometry, and consumer mathematics. Formerly MATH 1018. Students may not receive credit in both MATH 1007 and MATH 1018. Prerequisites: MATH ACT 16 or higher. Students with MATH ACT of 16-18 must concurrently enroll in MATH 1002.

Covers logic, the algebra of logic, computers, and number systems, networks, probability and statistics. Prerequisite(s): MATH ACT 19 or higher and a grade of "C" or better in MATH 1007, MATH 1009, or MATH 1011

Emphasis on applications involving: solving equations and inequalities; function properties and graphs; linear, quadratic, polynomial, exponential and logarithmic functions. Recommended for students who will not take Math 1031. Prerequisite: MATH ACT 16 or higher. Students with MATH ACT of 16-18 must concurrently enroll in MATH 1000. Students may not receive credit for both Math 1009 and Math 1011.

LCCN: CMAT 1203

In-depth treatment of solving equations and inequalities; function properties and graphs; inverse functions; linear, quadratic, polynomial, rational, exponential and logarithmic functions with applications; systems of equations. Students may not receive credit for both MATH 1011 and MATH 1009. Prerequisite(s): MATH ACT 16 or higher. Students with MATH ACT of 16-18 must concurrently enroll in MATH 1001. LCCN: CMAT 1213

Trigonometric functions and graphs; inverse trigonometric functions; fundamental identities and angle formulas; solving equations; triangles with applications; polar coordinate system. Prerequisite(s): A grade of 'C' or better in MATH 1009 or 1011.

LCCN: CMAT 1223

A pre-calculus course emphasizing functions of algebraic, trigonometric, and transcendental nature . This course is designed for those students who intend to enroll in calculus. Prerequisite: 'C' in Math 1009 or 1011, or Math ACT score of 23 or higher.

LCCN: CMAT 1233

A study of the concepts of differential and integral calculus with a focus on applications for business, social sciences, and life sciences. Prerequisite(s): A grade of “C” or better in MATH 1011.

LCCN: CMAT 2103

Descriptive statistics; probability calculations; discrete and continuous probability distributions (including the binomial and Poisson distributions, the normal and Student-t distributions); interval estimations, hypothesis testing, linear regression and correlation. Not applicable to a major or minor in computer science. Prerequisite(s): A grade of “C” or better in MATH 1009, Math 1011, Math 1013 or Math 1014.

LCCN: CMAT 1303

Selected topics from contemporary mathematics including logic, graph theory, set theory, number theory, probability, statistics, voting theory, and consumer mathematics. Prerequisite(s): A grade of “C” or better in MATH 1009, MATH 1011, MATH 1013, or MATH 1014.

LCCN: CMAT 1103

Limits and continuity of functions; introduction of the derivative; techniques of differentiation; Chain rule; implicit differentiation; differentiation of transcendental and inverse functions; applications of differentiation: concavity; relative extrema; maximum and minimum values of a function; optimization; antidifferentiation; definite integrals; Fundamental Theorem of Calculus; areas; applications of definite integrals; Prerequisite(s): A grade of "C" or better in MATH 1013, or by passing a placement exam administered by the Mathematics program.

LCCN: CMAT 2114

Inverse functions, techniques of integration, applications of the integral, sequences and series. Prerequisite: A grade of "C" or better in MATH 1031.

LCCN: CMAT 2124

A survey of problem solving strategies, sets, patterns, functions, and algebraic underpinnings. Prerequisite: Education Major

An introduction to the application of matrix algebra. Emphasis on the application of procedures and algorithms. Prerequisite: A grade of "C" or better in MATH 1031 or 1014. Sp

Vectors, lines, and planes, vector valued functions, partial derivatives, multiple integrals, calculus of vector fields. Prerequisite: A grade of "C" or better in MATH 1032. Sp

Introduction to logic and proofs, set theory, functions and structures relating to algebra and analysis. Prerequisite: A grade of "C" or better in MATH 1031. F

Students will discuss problem solving strategies, and investigate elementary number theory, arithmetic operations and algorithms. Emphasis is placed on applying the processes of problem solving, reasoning, connections, communications, and representation by combining discussion, modeling, manipulatives, cooperative learning and technology. For Elementary Education Majors only. Prerequisite: A grade of "C" or better in MATH 1009 or MATH 1011.

A survey of patterns, functions, and algebraic underpinnings. For Elementary Education majors only. Prerequisite: A grade of "C" or better in MATH 2051.

Students will analyze patterns, functions, algebraic underpinnings, and statistics. Emphasis is placed in the processes of problem solving, reasoning and proof, describing and analyzing data, probability explorations, connections, communications and representation by combining discussion, modeling, manipulatives, cooperative learning and technology. For Elementary Education Majors only. Prerequisite: A grade of "C" or better in Math 2050. (Students may not receive credit for MATH 2055 if they have credit in MATH 2052.)

A survey of descriptive statistics, graphic displays, and probability calculations. Prerequisite: MATH 2050

Closely supervised practical experience working in agencies/businesses that employ mathematicians. Only junior and senior Mathematics and Math Education majors are eligible. Students will receive grades of CR (credit) or NC (no credit). The course may be repeated for up to 6 credits. Requires approval from the School Director.

An introduction to ordinary differential equations, emphasizing equations of first order and first degree, linear differential equations of higher order, and applications of equations which arise in geometry, chemistry, and physics. Prerequisite: A grade of "C" or better in MATH 1032. F

Random variables, probability, distribution functions, mathematical models, testing hypotheses, frequency distributions, correlations, regression, goodness of fit, derived distributions, non-parametric methods. Prerequisite: MATH 1031.

Selected topics from finite, projective, or non-Euclidean geometries. Advanced topics in Euclidean geometry, including constructions. Prerequisite: A grade of "C" or better in MATH 2040. Sp

The Fundamental Theorem of Arithmetic, prime numbers, congruences, arithmetic functions, quadratic reciprocity, and related topics. Prerequisite(s): A grade of "C" or better in MATH 2040.

This course provides introduction to abstract algebra and real analysis and is a continuation of Math 2040. Prerequisite: A grade of "C" or better in MATH 2040

Students will analyze Euclidian geometry and measurement among and between the English and metric systems. Emphasis is placed on applying the processes of problem solving, reasoning and proof, connections, communications, and representation by combining discussion, modeling, manipulatives, cooperative learning and technology. Prerequisite: A grade of "C" or better in MATH 2055, or a grade of "C" or better in both CURR 2001 and MATH 1031.

Numerical algorithms fundamental to scientific work including discussion of error. Prerequisite: CSCI 2003 and MATH 2002 and 1032. (Dual listed as MATH 3073.)

Sequences and series of real numbers and their convergence; continuity, differentiation, and integration of real valued functions of one real variable. Prerequisites: A grade of "C" or better in MATH 1032, MATH 3040.

Axioms and the nature of proof, groups, rings, integral domains, fields, homomorphisms and isomorphisms. Prerequisite: A grade of "C" or better in MATH 2002 and MATH 3040.

A study of abstract vector spaces including function spaces, linear transformations, operators, functionals and duality, bilinear and quadratic forms. Prerequisite: MATH 2002, 1032.

Probability, discrete and continous random variables, expected values and moments, special continous distributions, sampling, point estimation, multivariate normal, interval estimation, tests of hypothesis, regression and linear hypotheseis, experimental design models, sequential tests, and nonparametric methods. Prerequisite: MATH 3003.

Probability, discrete and continous random variables, expected values and moments, special continous distributions, sampling, point estimation, multivariate normal, interval estimation, tests of hypothesis, regression and linear hypotheseis, experimental design models, sequential tests, and nonparametric methods. Prerequisite: MATH 4003.

Fourier series, boundary value problems, partial differential equations, special functions, with an emphasis on applications. Prerequisite: MATH 3001.

Real and complex numbers, differentiation and integration of functions of a complex variable, mapping by elementary functions, transformations, infinite series, and theory of residues and poles. Prerequisite: MATH 1032.

University Capstone Course. Selected topics on the development of mathematics as a human endeavor; numeration systems; growth of algebra, trigonometry, geometry, and the calculus; contributions from various cultures; selected biographies of mathematicians. Prerequisites: A grade of "C" or better in MATH 3040.

Introduction to modern applications of mathematics. Private key ciphers, including shift, affine and vigenere; attacks on these ciphers. Modern public key ciphers including RSA and Knapsack. Prerequisite: A grade of "C" or better in Math 2040, or CSCI 3026, or permission of the instructor.

This course is designed to introduce the student to the fundamental concepts of financial mathematics, and how those concepts are applied with regard to time value of money, annuities/cash flows with payments that are not contingent, loans and bonds. Prerequisite: Credit or registration in MATH 1031.

This course is designed to introduce the student to the fundamental concepts of financial mathematics, and how those concepts are applied with regard to general cash flows and portfolios, immunization, general derivatives, options, forwards and futures, swaps, and hedging and investment strategies. Prerequisite: Math 4013

Sequences and series of vector-valued functions of several real variables and their convergence; continuity, differentiation, and integration of vector- valued functions of several real variables. Prerequisite: A grade of "C" or better in MATH 3080.

Point sets, axiomatic bases, topology of the line and the plane. Emphasis on connectedness, compact sets, and continuous transformations. Prerequisite: MATH 2040 and 1032.

An introduction to the discipline of statistics and its application to problems of biology, including human biology, medicine, and public health. Topics include Bayesian inferences, estimation techniques, hypothesis testing, goodness of fit, and analysis of variance. Prerequisite: Math 1014 or Math 1031 or permission of department head. (Same as Math 4020).

A continuation of 4020. Topics include linear and multiple regression, logistics regression, longitudinal data analysis, nonparametric methods and principal component techniques. Prerequisites: Math 4020 or CSCI 4020 and junior standing or above. (Same as Math 4021).

Topics include statistical inference, sampling distributions, methods of estimation, properties of estimators, confidence intervals for unknown parameters, hypothesis tests.

Continuation of Math 3086; Euclidean domains, unique factorization domains, principal ideal domains, Galois theory and related topics. Prerequisite: A grade of "C" or better in MATH 3086.

A mathematical approach to concepts in advanced linear and nonlinear programming, dynamic programming, game theories, queueing theory and other standard topics in operations research. Prerequisites: CSCI 4035 and MATH 3003. (Same as MATH 4036.)

University capstone course. Development and analysis of mathematical models for physical, biological, and social sciences. Prerequisites: Math 3001, Math 3003, or approval by department head.

Maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. Prerequisite: Approval of department head. (Formerly MATH 498A)

Maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. Prerequisite: Approval of department head. (Formerly MATH 498B)

Maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. Prerequisite: Approval of department head. (Formerly MATH 498C)

Maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. Prerequisite: Approval of department head. (Formerly MATH 498D)

Maximum, 6 cr. Open to advanced undergraduates who are capable of developing a problem independently. A. Algebra; B. Analysis; C. Topology; D. Statistics. Prerequisite: Approval of department head.

In depth study of various mathematical concepts requisite to current backgrounds in teaching elementary school mathematics.

Rudimentary topics from algebra and analysis for junior high and high school mathematics teachers. Prerequisite: 1013 or advanced standing.

The real number system, elementary functions and their graphs and an introduction to differential and integral calculus and its applications. Prerequisite: 1013 or advanced standing.

Incidence geometry in planes and space, congruence, separation in planes and space, geometric inequalities, synthetic postulation, similarities, constructions, rigid motion and metrization. For high school and junior high school teachers. Prerequisite: 3007 or advanced standing.

Prime numbers and their distribution, divisibility of numbers, Pythagorean triples, Diophantine equations and their applications. Prerequisite: Approval of Department Head.

The logical structure of mathematics presented through the development of the properties of rings and fields. Intensive investigation of the real and complex number systems. Prerequisite: 1013 or advanced standing.

Course topics include the interpretation of data, graphical displays of data, distribution of data, methods of data collection, random sampling, probability, random variables, confidence intervals, tests of significance, and study of normally distributed data.

Data description, probability and probability distributions, estimation and tests of hypothesis, linear regression and correlation, multiple comparisons, multiple regression; analysis of variance for completely randomized, randomized block, Latin square, factorial and k-way classification, and unbalanced designs; expected mean squares, analysis of covariance. The use of SAS and Minitab statistical computer packages. Emphasis is on methodology and only a high school background in mathematics and no prior knowledge of statistics is assumed. (Same as Computer Science 5020-5021.)

Data description, probability and probability distributions, estimation and tests of hypothesis, linear regression and correlation, multiple comparisons, multiple regression; analysis of variance for completely randomized, randomized block, Latin square, factorial and k-way classification, and unbalanced designs; expected mean squares, analysis of covariance. The use of SAS and Minitab statistical computer packages. Emphasis is on methodology and only a high school background in mathematics and no prior knowledge of statistics is assumed. (Same as Computer Science 5020-5021.)

An introductory course in applied multivariate statistical methods for the researcher. Emphasis is on concepts and the application of procedure. Topics to be covered include multivariate normal distribution theory, statistical distance, hypothesis testing, multivariate structure, graphics, and exploratory techniques. (Same as Computer Science 5022.)

Directed study in A. Algebra; B. Analysis; C. Topology; D. Statistics. Prerequisites: Approval of Department.(1-6 Cr., Maximum 6 Cr.)