Mathematics (MAT) Courses
MAT 1023. College Algebra with Applications. (3-0) 3 Credit Hours. (TCCN = MATH 1314)
Prerequisite: Satisfactory performance on a placement examination; students pursuing majors in the College of Science or in Engineering should not enroll in this course; students majoring in areas that require MAT 1213 Calculus I are encouraged to take MAT 1073 instead of MAT 1023.
Topics include algebraic expressions; equations; inequalities over the real numbers; relations, functions, and graphs; polynomial and rational functions; systems of linear equations and inequalities; complex numbers; and matrices and determinants. A wide range of applications will be included in this course. (Formerly MTC 1023 and MAT 1063. Credit can be earned for only one of the following: MAT 1023, MTC 1023, MAT 1063, or MAT 1073 (formerly MTC 1073). NOTE: For the purpose of the Three-Attempt Rule, these courses are considered to be equivalent, and additional fees may be charged for the third or subsequent attempt to take any of these courses in any combination.) May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus, Online/Internet. Course Fee: LRC1 $12; LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 1043. Quantitative Reasoning. (3-0) 3 Credit Hours. (TCCN = MATH 1332)
Prerequisite: Satisfactory performance on a placement examination; this course is designed primarily for the liberal arts major to satisfy the Core Curriculum Mathematics requirement.
Topics may include logic; proofs; deductive and inductive reasoning; number theory; fundamentals of statistics; basic statistical graphs; causal connections; financial management; functions; linear graphs and modeling; exponential growth and decay; logarithms; fundamentals of probability; fundamentals of geometry; and basic ideas from trigonometry, calculus, and discrete mathematics. (Formerly MTC 1043. Credit cannot be earned for both MAT 1043 and MTC 1043.) May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Downtown Campus, Main Campus, Online/Internet. Course Fee: LRC1 $12; LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 1053. Mathematics for Business. (3-0) 3 Credit Hours. (TCCN = MATH 1324)
Prerequisite: Satisfactory performance on a placement examination.
This course is designed to prepare the student for MAT 1133 Calculus for Business. Topics include the application of common algebraic functions, including polynomial, exponential, logarithmic, and rational, to problems in business, economics, statistics, finance, and accounting. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming; and probability, including expected value. May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus, Online/Internet. Course Fees: LRC1 $12; LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 1073. Algebra for Scientists and Engineers. (1-6) 3 Credit Hours. (TCCN = MATH 1314)
Prerequisite: Satisfactory performance on a placement examination. This course is designed to prepare the student for MAT 1093 Precalculus and MAT 1213 Calculus I. Topics may include algebraic expressions; equations; inequalities over the real numbers; relations; functions; polynomial and rational functions; logarithmic and exponential functions; systems of linear equations and inequalities; matrices and determinants; complex numbers; sequences; series binomial expansion; mathematical induction; permutations, and combinations. (Formerly MTC 1073. Credit can be earned for only one of the following: MAT 1073, MTC 1073, MAT 1023 (formerly MAT 1063 and MTC 1023). NOTE: For the purpose of the Three-Attempt Rule, these courses are considered to be equivalent and additional fees may be charged for the third or subsequent attempt to take any of these courses in any combination.) May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Downtown Campus, Main Campus, Online/Internet. Course Fee: LRC1 $12; LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 1093. Precalculus. (3-0) 3 Credit Hours. (TCCN = MATH 2312)
Prerequisite: MAT 1023, MAT 1053, or MAT 1073, or satisfactory performance on a placement examination. Exponential functions, logarithmic functions, trigonometric functions, complex numbers, DeMoivre’s theorem, and polar coordinates. May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Downtown Campus, Main Campus, Internet. Course Fee: DL01 $75; LRC1 $12; LRS1 $46.20; STSI $21.60.
MAT 1133. Calculus for Business. (3-0) 3 Credit Hours. (TCCN = MATH 1325)
Prerequisite: MAT 1023, MAT 1053, or MAT 1073 (with a grade of "C-" or better), or satisfactory performance on a placement examination. This course is the basic study of limits and continuity, differentiation of single and multivariable functions, optimization and graphing, and integration of elementary, single variable functions, with an emphasis on applications in business and economics. May apply toward the Core Curriculum requirement in Mathematics. (Formerly MAT 1033. Credit cannot be earned for both MAT 1033 and MAT 1133.) Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus, Online/Internet. Course Fee: DL01 $75; LRC1 $12; LRS1 $46.20; STSI $21.60.
MAT 1153. Essential Elements in Mathematics I. (3-0) 3 Credit Hours. (TCCN = MATH 1350)
Prerequisite: MAT 1023 or MAT 1073.
Numeration systems; properties of the systems of whole numbers, integers, rational numbers, and real numbers; problem solving; logic. May not be applied toward a major in mathematics. (Formerly MAT 1143. Credit cannot be earned for both MAT 1153 and MAT 1143.) Generally offered: Fall, Spring, Summer. Course Fees: LRS1 $46.20; MFSM $30; STSI $21.60; DL01 $75.
MAT 1163. Essential Elements in Mathematics II. (3-0) 3 Credit Hours. (TCCN = MATH 1351)
Prerequisite: MAT 1153.
Algebra, statistics and probability; geometric shapes; measurement; coordinate and transformational geometry. May not be applied toward a major in mathematics. Generally offered: Fall, Spring, Summer. Course Fees: LRS1 $46.20; MFSM $30; STSI $21.60; DL01 $75.
MAT 1193. Calculus for the Biosciences. (3-0) 3 Credit Hours. (TCCN = MATH 2313)
Prerequisite: MAT 1093 or an equivalent course or satisfactory performance on a placement examination. An introduction to calculus is presented using discrete-time dynamical systems and differential equations to model fundamental processes important in biological and biomedical applications. Specific topics to be covered are limits, continuity, differentiation, antiderivatives, definite and indefinite integrals, the fundamental theorem of calculus, differential equations, and the phase-plane. (Formerly MAT 1194. Same as MAT 1214 and MAT 1213. Credit can be earned for only one of the following: MAT 1193, MAT 1194, MAT 1213, or MAT 1214.) May apply toward the Core Curriculum requirement in Mathematics.
Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus, Internet. Course Fee: DL01 $75; LRC1 $12; LRS1 $46.20; STSI $21.60.
MAT 1213. Calculus I. (3-0) 3 Credit Hours. (TCCN = MATH 2313)
Prerequisite: MAT 1093 or equivalent or satisfactory performance on a placement examination. An introduction to the concepts of limit, continuity and derivative, mean value theorem, and applications of derivatives such as velocity, acceleration, maximization, and curve sketching; introduction to the Riemann integral and the fundamental theorem of calculus. (Same as MAT 1214 and MAT 1193. Formerly MAT 1194. Credit can be earned for only one of the following: MAT 1214, MAT 1213, MAT 1193, or MAT 1194.) May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus. Course Fee: LRC1 $12; LRS1 $46.20; DL01 $75; STSI $21.60.
MAT 1214. Calculus I. (4-0) 4 Credit Hours. (TCCN = MATH 2413)
Prerequisite: MAT 1093 or an equivalent course or satisfactory performance on a placement examination. An introduction to the concepts of limit, continuity and derivative, mean value theorem, and applications of derivatives such as velocity, acceleration, maximization, and curve sketching; introduction to the Riemann integral and the fundamental theorem of calculus. (Same as MAT 1213 and MAT 1193. Formerly MAT 1194. Credit can be earned for only one of the following: MAT 1213, MAT 1193, or MAT 1194). May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus, Internet. Course Fee: DL01 $100; LRC1 $16; LRS1 $61.60; STSI $28.80.
MAT 1223. Calculus II. (3-0) 3 Credit Hours. (TCCN = MATH 2314)
Prerequisite: MAT 1213 (or MAT 1214 in previous catalogs) or MAT 1193, or equivalent. Methods of integration, applications of the integral, sequences, series, and Taylor expansions. (Same as MAT 1224. Credit cannot be earned for both MAT 1223 and MAT 1224.) Generally Scheduled Location: Main Campus. Course Fee: LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 1224. Calculus II. (4-0) 4 Credit Hours.
Prerequisite: MAT 1193, MAT 1213, or MAT 1214. Methods of integration, applications of the integral, sequences, series, and Taylor expansions. (Same as MAT 1223. Credit cannot be earned for both MAT 1224 and MAT 1223.) Generally offered: Fall, Spring, Summer. Generally Scheduled Location: Main Campus. Course Fee: LRS1 $61.60; STSI $28.80; DL01 $100.
MAT 1313. Algebra and Number Systems. (3-0) 3 Credit Hours.
Prerequisite: Completion of or concurrent enrollment in MAT 1213 (or MAT 1214 in previous catalogs). Basic logic and proofs. Properties of integer numbers, mathematical induction, the fundamental theorem of arithmetic, the infinitude of primes, modular arithmetic, rational and irrational numbers, complex numbers, functions, polynomials, and the binomial theorem. Generally offered: Fall, Spring. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 2113. Functions and Modeling. (3-0) 3 Credit Hours.
Prerequisite: MAT 1093 or consent of instructor and admission to the UTeachSA teacher preparation program.
In-depth study of concepts needed to teach secondary school mathematics at various levels. Emphasizes the development of the concept of function, exploring function patterns in data sets, and the connections between the main topics of mathematics associated with a secondary school curriculum. Use of appropriate technology is explored. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. (Same as UTE 2113. Credit cannot be earned for both MAT 2113 and UTE 2113.) Course Fees: LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 2213. Calculus III. (3-0) 3 Credit Hours. (TCCN = MATH 2315)
Prerequisites: MAT 1223 (or MAT 1224 in previous catalogs) or equivalents. Topics may include: Vectors, functions of several variables, partial derivatives, line, surface and volume integrals, Green’s, Stokes’ and the Divergence theorems. (Same as MAT 2214. Credit can not be earned for both MAT 2213 and MAT 2214.). Course fees: LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 2214. Calculus III. (4-0) 4 Credit Hours.
Prerequisite: MAT 1224 or MAT 1223 or equivalents. Vectors, functions of several variables, partial derivatives, line, surface and volume integrals, Green’s, Stokes’ and the Divergence theorems. (Same as MAT 2213. Credit cannot be earned for both MAT 2214 and MAT 2213.) Generally offered: Fall, Spring, Summer. Course Fee: LRS1 $61.60; STSI $28.80; DL01 $100.
MAT 2233. Linear Algebra. (3-0) 3 Credit Hours. (TCCN = MATH 2318)
Prerequisite: MAT 1223 (or MAT 1224 in previous catalogs). Topics include systems of linear equations, vectors, and matrices; methods of solving linear systems such as Gauss-Jordan elimination and Cramer's Rule; matrix operations including addition, multiplication, and inversion; properties of matrix rank and determinants; linear transformations and their matrix representations; subspaces, bases, and dimension; vector spaces and their subspaces; column space and null space; the rank-nullity theorem; dot products, orthogonality, and orthogonal projections; orthonormal bases and the Gram-Schmidt process; least-squares solutions; determinants and their geometric interpretation; eigenvalues, eigenvectors, characteristic equations, eigenspaces, and diagonalization. Generally Scheduled Location: Main Campus, Internet. Course Fee: LRS1 $46.20; STSI $21.60; DL01 $75.
MAT 2253. Applied Linear Algebra. (3-0) 3 Credit Hours.
Prerequisite: MAT 1213 or equivalent. This course provides a rigorous introduction to linear algebra with a focus on applications in optimization, data analysis, and neural networks. Students develop a foundational understanding of linear systems of equations, vectors, matrices, and methods for solving systems such as Gaussian elimination. The course introduces key algebraic structures including vector spaces, norms, inner products, linear independence, bases, rank, and linear mappings. Determinants, traces, eigenvalues, eigenvectors, and matrix factorizations are covered with emphasis on their computational aspects. Advanced topics in vector calculus include gradients, partial derivatives, Taylor series, matrix calculus, and higher-order derivatives. The course integrates optimization methods such as gradient descent, constrained optimization using Lagrange multipliers, and convex optimization. Applications to machine learning are explored through the mathematical foundations of principal component analysis, the theory and implementation of feed-forward artificial neural networks, backpropagation algorithms, activation functions, and performance measures. Students apply theoretical knowledge through projects involving linear optimization and neural network construction. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 2313. Combinatorics and Probability. (3-0) 3 Credit Hours.
Prerequisite: MAT 1313. Topics may include permutations, combinations, multinomial coefficients, inclusion/exclusion principle, axioms of probability, conditional probability, Bayes formula, independent events, discrete random variables, expected value, variance, discrete random variables (Bernoulli, Binomial, Poisson, geometric, hypergeometric, and Zeta random variables), continuous random variables (uniform, normal, and other distributions), joint distributions, properties of expectations, and limit theorems (Chebyshev’s inequality, Central Limit Theorem, and Law of Large Numbers). Course Fee: LRS1 $46.2; STSI $21.6; DL01 $75.
MAT 3003. Discrete Mathematics. (3-0) 3 Credit Hours.
Prerequisite: MAT 2313. Partially ordered sets, maximum/maximal and minimum/minimal elements. Well-ordered sets. Maximality principles (Zorn's lemma, Well-ordering principle, Hausdorff maximality lemma). Boolean algebras and the Stone representation theorem. Generalizations of the Stone representation theorem. (Same as MAT 5423. Credit cannot be earned for both MAT 5423 and MAT 3003.) This course has Differential Tuition. Course Fee: DL01 $75; STSI $21.60; LRS1 $46.20.
MAT 3013. Foundations of Mathematics. (3-0) 3 Credit Hours.
Prerequisite: MAT 1213 (or MAT 1214 in previous catalogs). Development of theoretical tools for rigorous mathematics. Topics may include mathematical logic, propositional and predicate calculus, set theory, functions and relations, cardinal and ordinal numbers, Boolean algebras, and construction of the natural numbers, integers, and rational numbers. Emphasis on theorem proving. (Formerly MAT 2243. Credit cannot be earned for MAT 3013 and MAT 2243.) Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 3023. Perspectives on Science and Mathematics. (3-0) 3 Credit Hours.
Prerequisite: MAT 1193, MAT 1213 (or MAT 1214 in previous catalogs), STA 1053, or consent of instructor. An examination of important episodes in the history of mathematics and science that illustrate the nature of scientific inquiry and convey that scientific and mathematical concepts are not static. Topics may include Galileo’s conflict with the Catholic Church, Isaac Newton’s formulation of the laws of motion and invention of calculus, Charles Darwin’s proposal of the theory of evolution by natural selection, the development of the atomic bomb, and the discovery of the double helix structure of DNA, or others chosen by the instructor. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. (Same as UTE 3023. Credit cannot be earned for both MAT 3023 and UTE 3023. Credit cannot be earned for both MAT 3023 and MAT 4123.) This course has Differential Tuition.
MAT 3103. Data Analysis and Interpretation. (3-0) 3 Credit Hours.
Prerequisite: MAT 1093 or consent of instructor.
Measurement, sampling, summarizing and displaying data, types of data, inferential methods, nonparametric methods, qualitative research designs and methods, interpreting research results, and research design. Applications to research techniques in school-based settings will be emphasized. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 3123. Fundamentals of Geometry. (3-0) 3 Credit Hours.
Prerequisite: MAT 1093 or consent of instructor.
A survey of geometric concepts, including axiomatic development of advanced Euclidean geometry, coordinate geometry, non-Euclidean geometry, three-dimensional geometry, and topology. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. Generally offered: Fall, Spring. This course has Differential Tuition.
MAT 3213. Foundations of Analysis. (3-0) 3 Credit Hours.
Prerequisite: MAT 1223 (or MAT 1224 in previous catalogs), and MAT 3003. Axiomatic definition of real numbers, including order properties and completeness; infinite sequences and their convergence; basic notions related to series and their convergence; functions and function limits. Introduction to topology of the real line. Emphasis on theorem proving. Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75; LRS1 $21.60; STSI $46.20.
MAT 3223. Complex Variables. (3-0) 3 Credit Hours.
Prerequisite: MAT 2213 (or MAT 2214 in previous catalogs), and MAT 3213. An introduction to complex variables, including elementary functions, line integrals, power series, residues and poles, and conformal mappings. Generally offered: Spring. This course has Differential Tuition.
MAT 3233. Modern Algebra. (3-0) 3 Credit Hours.
Prerequisite: MAT 3003. An introduction to modern algebra building up from concrete examples in elementary algebra and number theory which lead to the abstract theory of groups, rings, and fields. Topics include arithmetic congruences in the ring of integers; residue rings modulo n; finite fields; the group of units; cyclic groups; the Chinese Remainder Theorem, Fermat’s and Euler’s theorems; polynomial rings; the Fundamental Theorem of Algebra; irreducible polynomials and factorization in polynomial rings; and quotient rings and construction of the Galois fields. This course has Differential Tuition.
MAT 3273. Applied Mathematics for Sciences and Engineering. (3-0) 3 Credit Hours.
Prerequisite: MAT 2213 (or MAT 2214 in previous catalogs) or MAT 3613 or consent of instructor. Mathematical applications in biology, physics, engineering or other scientific disciplines. Topics may employ techniques of complex analysis, harmonic analysis, Fourier series, Fourier transforms, and partial differential equations. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 3313. Logic and Computability. (3-0) 3 Credit Hours.
Prerequisite: MAT 3003. Axiomatizations of propositional logic, axiomatizations of first-order logic, completeness and compactness, structures, compactness and the Henkin method of constructing models by constants, ultraproducts, real-valued logic and applications. (Same as MAT 5443. Credit cannot be earned for both MAT 5443 and MAT 3313.). Course Fee: LRS1 $46.20; DL01 $75; STSI $21.60.
MAT 3333. Fundamentals of Analysis and Topology. (3-0) 3 Credit Hours.
Prerequisite: MAT 3003. Topics may include topological notions in the real line and in metric spaces, convergent sequences, continuous functions, connected and compact sets, the Intermediate Value and Extreme Value theorems, sequential compactness, and the Heine-Borel Theorem. This course has Differential Tuition.
MAT 3613. Differential Equations I. (3-0) 3 Credit Hours.
Prerequisite: MAT 1223 and completion of or concurrent enrollment in MAT 2233 or MAT 2253. Basic notions of differential equations, solution of first-order equations and linear equations with constant coefficients, nth-order initial value problems, Laplace transforms, and may include additional topics such as power series solutions of differential equations, linear systems, and stability. Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75; LRS1 $46.20.
MAT 3623. Differential Equations II. (3-0) 3 Credit Hours.
Prerequisite: MAT 3613.
Continuation of MAT 3613. May include topics in stability, linear systems, power series solutions, partial differential equations, and boundary value problems. Generally offered: Spring. This course has Differential Tuition.
MAT 3633. Numerical Analysis. (3-0) 3 Credit Hours.
Prerequisite: MAT 2233 or MAT 2253, MAT 3213, and one of the following: CS 1063, CS 2713 (or CS 1714 in previous catalogs), or CS 2073. Solution of linear and nonlinear equations, curve-fitting, and eigenvalue problems.
Generally offered: Fall, Spring. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 3653. Stochastic Calculus. (3-0) 3 Credit Hours.
Prerequisite: STA 3513. Probability, random walk, Brownian motion, stationary and evolutionary processes and stochastic differential equations. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4033. Linear Algebra II. (3-0) 3 Credit Hours.
Prerequisite: MAT 2233 or MAT 2253, and MAT 3003. Topics may include 1) Finite-dimensional vector spaces: Vector space axioms, subspaces, linear independence and bases, dimension, sums, and quotients of vector spaces, 2) Linear transformations: Rank and nullity, isomorphisms, bases, and change of basis, 3) Gauss-Jordan elimination: Row operations, echelon forms, and determinants, 4) Inner product spaces: Projections, orthogonal bases and Gram-Schmidt, least squares approximation, and Riesz representation, 5) Eigenvalues and eigenspaces: Characteristic polynomials and diagonalization, and 6) Jordan form and spectral representation. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4113. Computer Mathematical Topics. (3-0) 3 Credit Hours.
Prerequisite: MAT 1213 (or MAT 1214 in previous catalogs). Mathematical topics from algebra, Euclidean and non-Euclidean geometry, number theory, and probability and statistics will be investigated using Geometer’s Sketchpad and a variety of Web-based mathematics resources. Course will also include the application of software to the solution of a variety of geometric and algebraic problems. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. Generally offered: Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75; MFSM $30.
MAT 4123. History of Mathematics. (3-0) 3 Credit Hours.
Prerequisites: MAT 3233 or MAT 4233, and either MAT 3123 or MAT 4263.
Selected subjects in mathematics developed through historical perspectives and biographies. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. (Same as UTE 3023. Credit cannot be earned for both UTE 3023 and MAT 4123.) Generally offered: Spring, Summer. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4133. Mathematical Biology. (3-0) 3 Credit Hours.
Prerequisite: MAT 1193, MAT 1213, or MAT 1214, or consent of instructor. A broad introduction to nonlinear dynamics. Topics may include discrete and continuous models, flows on the line, linear stability analysis, matrix operations and eigenvalues, flows on the plane, bifurcations, discrete dynamical systems, higher-dimensional systems, and others. The biological problems studied include molecular processes (glycolysis, lactose operon, etc.), physiological processes (single neuron), and ecological processes (predator-prey, competing species, infectious disease modeling). (Same as MAT 5133. Credit can not be earned for both MAT 4133 and MAT 5133.) This course has Differential Tuition.
MAT 4153. Mathematical Foundations of Data Analytics. (3-0) 3 Credit Hours.
Prerequisite: MAT 2253, or MAT 2233 and MAT 2213 (or MAT 2214 in previous catalogs). This immersive Data Analytics course equips students with the essential mathematical skills and knowledge required to analyze, visualize, and interpret complex datasets. Students will be exposed to the entire life cycle of data analysis. Throughout the course, participants will explore basic operations in scripting languages, delve into advanced visualization techniques, and investigate linear discriminants, generalized regressions, time series analysis, non-linear discriminants, and clustering. Students will program essential algorithms, instead of using toolboxes, to explore the discrete Fourier transform, generalized regressions, clustering algorithms, and artificial neural networks. Furthermore, the course will provide an understanding of relational databases and their integration with programming environments, as well as guidance on creating effective data analysis plans. Emphasis will be placed on solution architecture, reproducibility, configuration management, and generating standardized reports. By the end of the course, students will have a strong foundation in data analytics, allowing them to transform raw data into valuable insights for decision-making. This course is intended for Mathematics, Mathematics for Data and Computing, and Mathematics for Teaching majors. (Same as MDC 4153. Credit cannot be earned for both MAT 4153 and MDC 4153.) This course has Differential Tuition.
MAT 4213. Real Analysis I. (3-0) 3 Credit Hours.
Prerequisite: MAT 3213 or MAT 3333; or MAT 3003 with consent of the instructor. Continuous functions, uniform continuity; theory of differentiation; applications of the derivative to properties of functions; antiderivatives; Riemann integral; connection between differentiation and integration. Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 4223. Real Analysis II. (3-0) 3 Credit Hours.
Prerequisite: MAT 4213. This course will cover n-dimensional spaces, vectors, calculus of functions of several variables, and multidimensional integration. Generally offered: Fall, Spring. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 4233. Modern Abstract Algebra. (3-0) 3 Credit Hours.
Prerequisite: MAT 3233 or equivalent. Basic properties and examples of semigroups, monoids, and groups, detailed study of permutation, dihedral, and congruence groups, cyclic groups, normal subgroups, quotient groups, homomorphism, isomorphism theorems, direct products of groups, rings and fields and their basic properties, ideals, polynomial rings. Generally offered: Spring. This course has Differential Tuition.
MAT 4263. Geometry. (3-0) 3 Credit Hours.
Prerequisite: MAT 3013.
A study of non-Euclidean geometries, including spherical geometry, hyperbolic geometry and others. Generally offered: Spring. This course has Differential Tuition. Course fee: DL01 $75.
MAT 4273. Topology. (3-0) 3 Credit Hours.
Prerequisite: MAT 3213, or MAT 3333, or MAT 3003, and consent of the instructor. Set theory, including cardinal and ordinal numbers. Topological properties of the real-line and metric spaces. Generally offered: Fall. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 4283. Computing for Mathematics. (3-0) 3 Credit Hours.
Prerequisite: MAT 1313 or consent of instructor. Project-based modular course allowing individualized learning of computer tools and skills most relevant to each mathematics student. Available modules include calculation and visualization in Desmos and GeoGebra, an introduction to general-purpose programming in Python, and specialized tools including Sage, Mathematica, Matlab/Octave, R, etc. This course has Differential Tuition.
MAT 4303. Capstone Course for Mathematics. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor or MAT 3333 and MAT 3233. This course is for any interested mathematics major, particularly for those students who intend to pursue secondary certification in Mathematics. The goals of the course are to enable students to build connections among the mathematical areas they have studied and between undergraduate mathematics and high school mathematics, to develop their understanding of mathematics as an integrated discipline, and to strengthen their oral and written communication skills in mathematics. May not be applied toward the Mathematics Concentration of the B.S. degree in Mathematics. Generally offered: Fall, Spring. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 4323. Applied Graph Theory. (3-0) 3 Credit Hours.
Prerequisite: MAT 1313. Isomorphism, planarity, computer representation of graphs, covering circuits and graph colorings, Euler and Hamiltonian graphs, trees and searching network algorithms (shortest paths, connectivity, traveling salesman, network flow, matching, sorting, etc.). This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4333. Probability and Computing. (3-0) 3 Credit Hours.
Prerequisite: CS 3333 or MAT 2313. May include moments of random variables: randomized mincut algorithm, Chebyshev and Markov inequalities, sampling estimator for mean. Basic Concentration Inequalities: Chernoff and Hoeffding inequalities; parameter estimation and set balancing. Discrete probabilistic structures: Bucket sort algorithm, Poisson approximation, Lovasz local Lemma, independent set search. The Gaussian: Moment Generating Functions, Central Limit Theorem, JL dimensionality reduction lemma. Markov Chains and Random Walks: Stationary Distributions, and randomized 3-SAT algorithm, Entropy Function: Information and Compression. (Same as CS 4333. Credit cannot be earned for both CS 4333 and MAT 4333.) Generally offered in Springs. This course has Differential Tuition.
MAT 4343. Introduction to Optimization. (3-0) 3 Credit Hours.
Prerequisite: MAT 2213 (or MAT 2214 in previous catalogs) and MAT 2233, or EGR 3323, or MAT 1223 (or MAT 1224 in previous catalogs) and CS 3333.
May include Discrete, Continuous, Linear, and non-Linear optimization. Optimality conditions, Lagrange multipliers, duality theory. Applications of linear programming in computer science and discrete optimization. Gradient descent and Newton iteration (i.e., RST and second order methods), trust region methods, and conjugate gradient. Applications of RST and second order methods to engineering. Same as CS 4303. Credit cannot be earned for both CS 4303 and MAT 4343. Generally offered in Fall. This course has Differential Tuition.
MAT 4353. Mathematical Foundations of Cryptography. (3-0) 3 Credit Hours.
Prerequisite: MAT 3233 or MAT 4233 or consent of instructor. Congruences and residue class rings, Fermat’s Little Theorem, the Euler phi-function, the Chinese Remainder Theorem; complexity; symmetric-key cryptosystems; cyclic groups, primitive roots, discrete logarithms, one-way functions; public-key cryptosystems (Diffie-Hellman key exchange, RSA, Rabin, El Gamal); digital signatures; and other groups (finite fields, elliptic curves). Generally offered: Spring. This course has Differential Tuition. Course Fee: DL01 $75.
MAT 4363. Mathematics of Quantum Computing. (3-0) 3 Credit Hours.
Prerequisite: MAT 3003. Basic mathematical concepts of quantum computation, including tensor products, composite systems entanglement, and quantum gates. Quantum algorithms, including Shor's factorization algorithm and Grover's search algorithm. Algorithms for the Abelian Hidden Subgroup and Discrete Logarithm problems. Error correction and adiabatic quantum computing. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4643. Optimal Control and Calculus of Variations. (3-0) 3 Credit Hours.
Prerequisite: MAT 3613. Basic Optimal Control Problems; Optimality Conditions; Adjoint Equation and Its Interpretation; Transversality Condition; Bang-Bang Control; Pontryagin's Maximum Principle; Principle of Optimality; Convexity vs. Concavity; Examples of Variational Methods; Basic Calculus of Variations Problems; Euler-Lagrange Equation; Calculus of Variations vs. Optimal Control; Extremals and Minimizers; Laboratory Applications in Science and Engineering; Theory and Computation (with MATLAB). This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4803. Statistical Quality Control. (3-0) 3 Credit Hours.
Prerequisite: MAT 1223 (or MAT 1224 in previous catalogs), and STA 3003 or STA 3513. Statistical methods are introduced in terms of problems that arise in manufacturing and their applications to the control of manufacturing processes. Topics include control charts and acceptance sampling plans. (Same as STA 4803 and SCM 4363. Formerly MS 4363. Credit cannot be earned for more than one of the following: STA 4803, MS 4363, SCM 4363, and MAT 4803.) This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4813. Foundations of Mathematical Physics. (3-0) 3 Credit Hours.
Prerequisite: MAT 2213 (or MAT 2214 in previous catalogs), and MAT 3623 or equivalent, or instructor consent. Topics may include (1) Complex analysis in physics, (2) Differential equations: dynamical systems, non-linearity, and chaos, 3) Nonlinear waves in PDEs: continuous systems, Hamiltonian formulation of plasmas and liquids, KdV equation, nonlinear Schroedinger equation, and Sine/Klein-Gordon equation(s), (4) Asymptotic analysis methods and time-dependent/independent perturbation theory, (5) Functional analysis in mathematical physics, (6) Mathematical formalism of PDEs, (7) Group theory and Lie algebras, and (8) Tensor calculus: theory and applications. This course has Differential Tuition.
MAT 4823. Introduction to Quantum Information Science and Engineering. (3-0) 3 Credit Hours.
Prerequisite: MAT 2233 or MAT 2253. Foundations of quantum mechanics, such as unitary time evolution, entanglement, and the EPR paradox, are approached from the information perspective and quantum entropy. Information and its encoding into physical systems such as photons, atoms, and superconducting circuits. Quantum control using quantum logic gates provides a foundation for quantum programming. Applications: quantum teleportation, quantum cryptography, quantum computing. This course has Differential Tuition. Course Fee: LRS1 $46.20; STSI $21.60.
MAT 4913. Independent Study. (0-0) 3 Credit Hours.
Prerequisites: Permission in writing (form available) from the instructor, the student’s advisor, the Department Chair, and the Dean of the College in which the course is offered.
Independent reading, research, discussion, and/or writing under the direction of a faculty member. May be repeated for credit, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree. This course has Differential Tuition.
MAT 4953. Special Studies in Mathematics. (3-0) 3 Credit Hours.
Prerequisite: Consent of instructor.
An organized course offering the opportunity for specialized study not normally or not often available as part of the regular course offerings. May be repeated for credit when the topics vary, but not more than 6 semester credit hours, regardless of discipline, will apply to a bachelor’s degree. Generally offered: Fall, Spring, Summer. This course has Differential Tuition. Course fee: DL01 $75.
MAT 4993. Directed Research. (0-0) 3 Credit Hours.
Prerequisite: Approval from the instructor, the Department Chair, and Associate Dean of Undergraduate Studies in the College for which this course is offered.
Form available on the College of Sciences website. Supervised research mentored by a faculty member engaged in active research within the student’s designated area of concentration. Students may produce a thesis in addition to active research. May be repeated. This course can also be used for students pursuing the COS Undergraduate Thesis Option. This course has Differential Tuition.
