61 courses with the subject MAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MAT 1103Freshman Seminar1
Credits: 1 hr This course is designed to provide entering freshmen and new students with an orientation to the university, its traditions, its program offerings, and its academic requirements and regulations. The focus is on adaptation to college life, problem solving skills, and critical thinking skills including effective study and test taking methods. This course will also provide an orientation to the Department of Mathematics, its various degree paths, and the nature of mathematical reasoning.
Credits: 3 hrs This course is designed for students with limited proficiency in elementary algebra. Topics include signed number operations, simplifying algebraic expressions, exponents, polynomials, equations and inequalities, word problems, and factoring. Requirements: All students scoring below a given level on the mathematics placement examination must enroll in this course. Students enrolled in this course receive a grade of P or F. Credit for this course is not counted towards the total hours needed for graduation.
Credits: 3 hrs This course covers topics in applied algebra. Topics include a review of factoring, algebraic fractions, rational exponents, radicals, first-degree linear equations and graphs, quadratic equations, first-degree inequalities, and linear systems of equations.
MAT 1306 - Basic Algebra or a satisfactory score on the mathematics placement examination given by the university. This course may not be used as an approved elective by mathematics majors.
MAT 1312Pre-Calculus I3
Credits: 3 hrs This course introduces techniques for solving inequalities involving absolute value, polynomials, and rational expressions. Included are discussions of functions and their graphs for linear, quadratic, and general polynomials, rational functions, exponentials, and logarithms. General graphing techniques and the conics are also discussed.
MAT 1312 - Pre-Calculus I or a satisfactory score on the mathematics placement test.
MAT 1315Introduction to Computational Mathematics3
Credits: 3 hrs This course introduces computational tools tor mathematical problem -solving with emphasis on translating mathematical ideas into code, performing symbolic and numerical computations, analyzing data, and visualizing results. Students will learn to solve mathematical and statistical problems using computational software such as Python, Sage, R, etc. Students will gain experience performing algebraic computations and statistical analysis, along with implementing numerical methods, while also engaging with traditional programming concepts such as designing programs, coding, debugging, and writing clear documentation. Skills developed here prepare students for computational ma them a tics, data science, mathematical modeling, and graduate-level research.
MAT 1312 - Pre-Calculus I or MAT 1401 - Precalculus and Trigonometry Level of Knowledge this Course Address(es): Foundation Latest Update(s) Approved by Academic Standards and Curriculum: May 2026 Effective Date: Fall 2026
MAT 1323Topics in Contemporary Math3
Credits: 3 hrs This course serves as the core requirement for non-STEM majors. Topics include basic algebraic concepts, sets, statistics, probability, mathematics of finance, and problem solving.
MAT 1306 - Basic Algebra or a satisfactory score on the mathematics placement examination given by the university. This course may not be used as an approved elective for mathematics majors. Student Learning Outcome: Quantitative Literacy Area of Knowledge: Mathematics & Quantitative Logic
MAT 1325Principles of Math I3
Credits: 3 hrs This course is designed for students who will be teaching mathematics from kindergarten to the ninth grade. The course will cover exercises and problem solving in major topics such as number sense and algebra. Emphasis will be placed on the why and when, as well as the how. Hopefully, this course will help prepare students for the mathematics part of the ETS Praxis Core Exam.
MAT 1306 - Basic Algebra or satisfactory score on the placement examination or permission of Instructor. Course will not be counted for mathematics minor or mathematics/mathematics education majors.
MAT 1326Principles of Math II3
Credits: 3 hrs This course is designed for students who will be teaching mathematics from kindergarten to the ninth grade. The course will cover exercises and problem solving in major topics such as geometry, probability, and statistics. Emphasis will be placed on the why and when, as well as the how. Hopefully, this course will help prepare students for the mathematics part of ETS Praxis Core Exam.
MAT 1325 or satisfactory score on the placement examination or permission of Instructor. Course will not be counted for mathematics minor or mathematics/mathematics education majors.
MAT 1401Precalculus and Trigonometry4
Credits: 4 hrs This is a one-semester accelerated precalculus for highly prepared students course aimed at preparing students for the study of Calculus. Students will study real numbers, polynomial, rational, exponential, logarithmic, trig functions and graphs, and analytic geometry. By the end of the semester, students will be able to analyze real world problems by using mathematical models and use appropriate techniques for solving various types of equations. Student will not receive credit for this course and MAT 1312 and MAT 1313 .
Appropriate score on a Calculus readiness test or/and permission of Instructor.
MAT 2260Pre-Calculus Review Seminar2-6
Credits: 2-6 hrs This course includes a review of topics covered in precalculus courses. The course provides the opportunity for students preparing for licensure and proficiency examinations to review course content and to improve test-taking skills. Credit for this course is not counted towards the total hours needed for graduation. The course may be taken more than once.
MAT 1313 or approval from the instructor. Grade: Pass/Fail
MAT 2301Introduction to Computer Algebra Systems3
Credits: 3 hrs This course presents a brief introduction to the software and hardware being used. Included will be work with one or more computer algebra systems, such as Maple, Derive or Mathematica. Time will be spent not only learning to use the software, but using experimentation and discovery to better understand mathematical concepts. Some topics addressed are solutions of equations and inequalities, functions and their graphs, and other pre-calculus and calculus topics.
Credits: 3 hrs This course presents systems of linear equations and matrices, determinants, vector spaces, linear transformations and their matrix representations, eigenvalues, eigenvectors, and some applications.
MAT 1312 - Pre-Calculus I or MAT 1401 - Precalculus and Trigonometry
MAT 2321Foundations of Modern Mathematics3
Credits: 3 hrs This course is designed for mathematics majors as an introduction to mathematical principles and reasoning. It gives an introduction to the discipline of mathematics emphasizing deductive arguments and the development of analytical skills needed in understanding and building mathematical arguments. The content will include an introduction to logic and methods of proof and takes a look at functions and the ?-? definition of continuity. The course also examines the algebraic and topological properties of R and introduces metric spaces.
Credits: 3 hrs This course intends to provide a basis for studying specialized statistical methods within the major fields of most students. Therefore, the main function of this course is to introduce the ideas of central tendency, variability, uncertainty, and some statistical methods for drawing inference from observed data. This course will enable each student to use statistics as a tool in the decision making process and to cultivate in each student an appreciation for the role of statistics in society.
Credits: 3 hrs This course includes a brief review of the concepts of functions and combinations of functions. It also covers the basic concepts of differential and integral calculus and its applications. Special attention is given to problems in business and economics.
MAT 1312 or placement. Student Learning Outcome: Quantitative Literacy Area of Knowledge: Mathematics & Quantitative Logic
MAT 2337Discrete Mathematics3
Credits: 3 hrs Topics include mathematical logic, Boolean algebra and computer logic, proof techniques, set theory, combinatorics, finite state machines, and complexity of algorithms.
Credits: 4 hrs This course is the first of four sequential semester courses, which addresses calculus for mathematics, science and engineering majors. The course examines functions, graphs, limits and derivatives, and rules of differentiation. This includes differentiation of polynomial, rational, trigonometric, logarithmic, exponential functions, application of differentiation and the use of computational tools.
MAT 1313 - Pre-Calculus II Student Learning Outcome: Quantitative Literacy Area of Knowledge: Mathematics & Quantitative Logic
MAT 2418Calculus II4
Credits: 4 hrs This course is the second of four sequential semester courses, which addresses calculus for mathematics, science and engineering majors. The course examines techniques and applications of the integral calculus. Topics include the fundamental theorem of calculus, integrals and anti-derivatives of elementary functions, techniques of symbolic and numerical integration, application to calculation of areas and volumes of regions bounded by graphs of functions, and elementary differential equations with applications such as exponential growth and decay.
MAT 2417 - Calculus I Student Learning Outcome: Quantitative Literacy Area of Knowledge: Mathematics & Quantitative Logic
MAT 2419Calculus III4
Credits: 4 hrs The concepts from Calculus II are extended in this course. Included topics are three dimensional geometry, vector valued functions, partial derivatives, multiple integrals, Stoke Theorem, Green Theorem and the Divergence Theorem.
Credits: 2-6 hrs This course includes a review of topics covered in core mathematics courses for majors. The course provides the opportunity for students preparing for licensure and proficiency examinations to review course content and to improve test-taking skills. Credit for this course is not counted towards the total hours needed for graduation.
MAT 2316 , MAT 3416 , MAT 3341 , or approval from the instructor. Grade: Pass/Fail.
MAT 3310Probability and Statistics I3
Credits: 3 hrs This course is designed to give an introduction to set theory and probability theory and to the concept of random variables, both discrete and continuous. Consideration is given to a discussion of several standard types of distributions.
MAT 2417 - Calculus I and MAT 2326 - Elementary Statistics
MAT 3311Probability and Statistics II3
Credits: 3 hrs This course is a continuation of MAT 3310 . Treatment is given to random sampling and classical statistical inference, especially point and interval estimation, tests of hypotheses, general linear models, Bayesian methods, and an introduction to least squares.
Credits: 3 hrs This course covers topics in both probability and statistics including: probability function and its properties, discrete and continuous random variables and their probability distributions, data description and their presentation, hypothesis testing, decision making and experimental design. Data will be used from the areas of biology, psychology, and neuroscience with appropriate software. Use of computer is a requirement. This course is for sophomore/junior level students with major or minor in an area of life science.
MAT 1312 - Pre-Calculus I and BIO 1315 - Introduction to Biotechnology
MAT 3318Introduction to Biomathematics3
Credits: 3 hrs Population Dynamics (Discrete and continuous models, Logistic model, Equilibrium States), epidemiology (SIS/SIR Models), Quantitative genetics and statistics. Additional topics may be selected from topics covering mathematical applications in endocrinology, ligand binding, hormone pulsatility, risk analysis in diabetes and neonatal infections, circadian rhythms, and gene chip analysis.
Credits: 3 hrs Topics covered in this course include divisibility properties of the integers, primes, congruences, diophantine equations, and primitive roots.
Credits: 3 hrs This course presents Euclidean and non-Euclidean geometry from a modern perspective. Topics include congruence, parallelism, similarity, measurements, constructions, solid geometry, ratio, proportion, the parallel postulate, and an overview of non- Euclidean geometries. Direct and indirect proofs will also be studied.
Credits: 3 hrs This course covers theory and application of algorithms for numerical computation, approximation, interpolation, numerical differentiation and integration, solution of linear and ordinary differential equations.
MAT 2316 - Linear Algebra and MAT 2337 - Discrete Mathematics Cross-listed as CSC 3341 - Algebraic Structures
MAT 3350Linear Programming3
Credits: 3 hrs This course develops the techniques used in linear programming such as the simplex method and the duality method. Linear programming techniques will be applied in the solution of transportation problems, industrial problems and problems in economic theory.
Credits: 1-6 hrs This course provides an opportunity for mathematics majors at the junior and senior level to work on an independent project with the guidance of a faculty member. The project may consist of a combination of review of research, a research project, or a research paper. Topics covered in this course are not offered in formal courses. This course may be repeated if a student has not earned the maximum of six semester hours. Limited to junior and senior mathematics majors and subject to the approval of the instructor and chair.
Subject
MAT
Credits (min)
1
Credits (max)
6
Credit unit
Credits
Type
course
Repeatable
may be repeated if a student has not earned the maximum of six semester hours.
Credits: 4 hrs This course is the third of four sequential semester courses, which addresses calculus for mathematics, science and engineering majors. Topics include sequences, infinite series, power series, Taylor’s theorem, conic sections, parametric equations, the polar coordinate system, and vectors and the geometry of space.
Credits: 3 hrs This course develops techniques for solving differential equations, presents theory to support those techniques, and includes applications of differential equations. The course includes the study of equations of order one, linear differential equations, nonhomogeneous equations, the Laplace transform, and systems of equations.
Credits: 3 hrs This course covers some methods for finding solutions of differential equations not considered in MAT 4301. It includes non-linear differential equations, power series solutions of differential equations, Fourier series, and an introduction to methods of solutions of partial differential equations of mathematical physics: heat and wave equations.
Credits: 3 hrs This course is a chronological study of the development of mathematics. It includes those mathematicians and periods in which the study of certain areas of mathematics prevailed.
Credits: 3 hrs This course presents the real numbers, least upper bound and greatest lower bound, sequences and series of real numbers, monotone and Cauchy sequences, limit superior and limit inferior, metric spaces, connected, complete and compact metric spaces, continuous functions on metric spaces, sequences and series of functions, and the three famous theorems— Weierstrass Approximation Theorem, Picard Existence Theorem, and the Ascoli-Arzela Theorem.
Credits: 3 hrs This course will cover operations on sets, properties of functions, topology of the real line, metric spaces, topological spaces, connectedness, compactness, and product and quotient spaces.
Credits: 3 hrs This course is a continuation of MAT 4311 , Real Variables I. This course extends the study to include the topology of Euclidean spaces, differentiability in Euclidean Spaces, and metric spaces. Sequences of functions, uniform convergence, convergence of series, and power series will also be covered.
Credits: 3 hrs This course presents differential and integral calculus of functions with domain and range in Euclidean n-space. Topics include geometry of n-space, sequences and series in n-space and of functions, uniform convergence, improper integrals with parameters, Fourier series, extrema, differentiation of transformations, implicit function theorems, transformations of multiple integrals, differential forms, and Green, Gauss, and Stokes Theorems in a general set up.
Credits: 3 hrs Course will explore topics in advanced Computational Biology. Topics will be based on recent developments. A course may be based on a full review and exposition of published works with possible extensions and open questions.
Credits: 3 hrs Students may enroll for study of an area of mathematics not given in a formal course. Approval must be given by the department chair and the instructor. All parties must agree on the course format and content. This course is limited to senior mathematics majors.
Credits: 3 hrs Mathematical model building in both discrete and continuous cases will be developed. A variety of mathematical problems in physical, biological, social, and behavioral sciences will be discussed. Specific problems will be given in applied dynamical systems, differential and integral equations and some statistical processes. In every topic, the emphasis will be on construction, interpretation, analysis, simulation, and testing of models.
MAT 2418 - Calculus II , MAT 4301 - Differential Equations I
MAT 4332Introduction to Statistical Methods3
Credits: 3 hrs This course covers data analysis, sampling, probability, standard methods of statistical inference, including t-tests, chi-square tests, and nonparametric methods. Applications include the use of a statistical computer package.
MAT 4333Methods of Regression/Analysis of Variance3
Credits: 3 hrs This course includes simple and multiple regression, model selection procedures, analysis of variance, simultaneous inference, and the design and analysis of experiments. Applications include the use of a statistical computer package.
Credits: 3hrs. This course is a continuation of MAT 3341 , Algebraic Structures I. Topics include normal subgroups, quotient groups, direct sums, Abelian groups, rings, integral domains, fields, ideals and maximal ideals,quotient rings, homomorphisms, polynomial extensions of rings, divisibility on commutative rings, and factorization of polynomials.
Credits: 3 hrs This course is designed for students preparing to teach secondary school mathematics. Innovative techniques to be used in the teaching of mathematics and assessment procedures will be discussed and developed. No credit is allowed for work of less than C quality.
Admission to Teacher Education Program. Cross-listed as EDU 4352 .
MAT 4355Operations Research3
Credits: 3 hrs This course develops some standard operations research techniques including model formulation, PERT problems, transportation problems, linear programming, dynamic programming, Markov analysis, and queuing models.
Credits: 3 hrs This course includes probability, random variables and their distributions, mathematical expectation, moment generating functions, and sampling distributions.
Credits: 3 hrs This course is a continuation of MAT 4356 , Mathematical Statistics I. Topics include estimation and hypothesis testing, applications of statistical inference, introduction to regression, and correlation.
Credits: 3 hrs Design principles pertaining to planning and execution of a sample survey. Simple random, stratified random, systematic and one- and two-stage cluster sampling designs. Emphasis on statistical considerations in analysis of sample survey data. Class project on design and execution of an actual sample survey. Stresses use of computer.
Credits: 3 hrs This course provides an introduction to statistical methods requiring relatively mild assumptions about the form of the population distribution. Hypothesis testing, point and interval estimation and multiple comparison procedures for a variety of statistical problems are covered.
MAT 4357 (Mathematical Statistics II) or MAT 4333 (Methods of Regression/Analysis of Variance), and MAT 2316 with grades of C or higher and the ability to program in a high-level language.
MAT 4370Introduction to Experimental Design3
Credits: 3 hrs Experimental design as a method for organizing analysis procedures. Completely randomized, randomized block, factorial, nested, latin squares, split-plot and incomplete block designs are explored. Additional topics include response surface and covariance adjustment procedures. Applications include use of a statistical computer package.
Credits: 3 hrs Computational implementation of statistical methods such as descriptive statistics, one and two sample tests, regression, correlation, ANOVA methods of estimation, and Monte Carlo techniques. Standard statistical packages will be used as well as user-written programs.
MAT 4357 (Mathematical Statistics II) or MAT 4333 (Methods of Regression/Analysis of Variance), and MAT 2316 with grades of C or higher and the ability to program in a high-level language.
MAT 4386Automata, Formal Languages and Computability3
Credits: 3 hrs This course studies computer science theory and the mathematical foundations of digital computers. Its topics include the family of computing machines (finite-state, push-down and Turing), the Chomsky hierarchy of languages, decidability, unsolvable problems, and applications of automata to areas of syntactic analysis, modeling, and artificial intelligence.
CSC 4340 and MAT 2316 , or consent of instructor. Cross-listed as CSC 4386
MAT 4387Senior Seminar I3
Credits: 3 hrs This course contains lectures, dialogues, and readings in mathematical topics in order to reinforce the knowledge and skills learned in core courses thus far. This course provides the opportunity for students to look at applications and problems in order to prepare for proficiency and licensure exams such as the GRE or first actuarial exam. The students will be asked to read journal articles and give summary presentations in class.
Credits: 3 hrs This course includes readings and weekly student lectures or student-led discussions on a variety of mathematical topics determined by the interest of the students and the instructor. Emphasis will be placed on independent research and clear exposition. A paper is required.
MAT 4981Observation, Student Teaching and Practicum9
Credits: 9 hrs This course deals with the application of theory to teaching situations in the secondary schools. During the first six weeks, students spend one-half day in a classroom setting, engaging in directed observation, small-group tutoring and part-time classroom teaching. The final ten-week period is devoted to fulltime student teaching in the same classroom setting. Proficiency in training and handling typical classroom situations is developed. This course is required for secondary education majors.
