MA 101 | Intermediate Algebra | UNITS: 4 - Offered in Summer |

Preparation for MA 103, MA 105, MA 107, MA 111, and MA 114. Reviews main topics from high school Algebra I and Algebra II emphasizing functions and problem solving. Other concepts and skills covered include algebraic operations, factoring, linear equations, graphs, exponents, radicals, complex numbers, quadratic equations, radical equations, inequalities, systems of equations, compound inequalities, absolute value in equations and inequalities. MA 101 may not be counted as credit toward meeting graduation. Credit for MA 101 is not allowed if student has prior credit in any other mathematical course. | ||

MA 103 | Topics in Contemporary Mathematics | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 101 or equivalent completed in high school | ||

Primarily for students in Humanities and Social Sciences. Illustrations of contemporary uses of mathematics, varying from semester to semester, frequently including sets and logic, counting procedures, probability, modular arithmetic, and game theory. | ||

MA 105 | Mathematics of Finance | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 101 or equivalent completed in high school | ||

Simple and compound interest, annuities and their application to amortization and sinking fund problems, installment buying, calculation of premiums of life annuities and life insurance. | ||

MA 107 | Precalculus I | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: C- or better in MA 101, or a 450 or better on the SAT Subject Test in Mathematics Level 2 or the NCSU Math Skills Test. | ||

Algebra and basic trigonometry; polynomial, rational, exponential, logarithmic and trigonometric functions and their graphs. Credit for MA 107 does not count toward graduation for students in Engineering, College of Sciences, Bio and Ag Engineering (Science Program), Bio Sci (all options), Math Edu, Sci Edu, Textiles, and B.S. degrees in CHASS. Credit is not allowed for both MA 107 and MA 111 | ||

MA 108 | Precalculus II | UNITS: 3 - Offered in Spring Only |

Prerequisite: C- or better in MA 107 | ||

Algebra, analytic geometry and trigonometry; inequalities, conic sections, complex numbers, sequences and series, solving triangles, polar coordinates, and applications.Credit for MA 108 does not count toward graduation for students in Engineering, College of Sciences, Design, Bio and Ag Engineering (Science Program), Bio Sci (all options), Math Edu, Sci Edu, Textiles, and B.S. degrees in CHASS. Credit is not allowed for both MA 108 and MA 111. Also, MA 108 should not be counted toward the GER mathematical sciences. | ||

MA 111 | Precalculus Algebra and Trigonometry | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: C- or better in MA 101, or 480 or better on the SAT Subject Test in Mathematics Level 2 or the NCSU Math Skills Test. | ||

Real numbers, functions and their graphs (special attention to polynomial, rational, exponential, logarithmic, and trigonometric functions), analytic trigonometry. Credit in MA 111 does not count toward graduation for students in Engr., College of Sciences., Design, Biological & Ag. Engr. (Science Program), Biological Sci.(all options),Math. Edu., Forestry, & Textiles. Credit is not allowed for both MA 111 and either MA 107 or MA 108. | ||

MA 114 | Introduction to Finite Mathematics with Applications | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 101 or equivalent completed in high school. | ||

Elementary matrix algebra including arithmetic operations, inverses, and systems of equations; introduction to linear programming including simplex method; sets and counting techniques, elementary probability including conditional probability; Markov chains; applications in the behavioral, managerial and biological sciences. Computer use for completion of assignments. | ||

MA 116 | Introduction to Scientific Programming (Math) | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 141, and either COS 100 or E 115; Corequisite: MA 241 | ||

Computer-based mathematical problem solving and simulation techniques using MATLAB. Emphasizes scientific programming constructs that utilize good practices in code development, including documentation and style. Covers user-defined functions, data abstractions, data visualization and appropriate use of pre-defined functions. Applications are from science and engineering. Prerequisites: MA 141 and either PMS 100 or E115. Corequisite: MA 241. | ||

MA 121 | Elements of Calculus | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 107 or 111 with a C- or better, or 480 on the SAT Subject Test in Mathematics Level 2 or the NCSU Math Skills Test, or 2 or better on an AP Calculus exam. Credit is not allowed for both MA 121 and MA 131 or MA 141. | ||

For students who require only a single semester of calculus. Emphasis on concepts and applications of calculus, along with basic skills. Algebra review, functions, graphs, limits, derivatives, integrals, logarithmic and exponential functions, functions of several variables, applications in management, applications in biological and social sciences. Credit is not allowed in more than one of MA 121, 131, 141. MA 121 may not be substituted for MA 131 or MA 141 as a curricular requirement | ||

MA 131 | Calculus for Life and Management Sciences A | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: C- or better in MA 107 or MA 111, or 520 or better on the SAT Subject Test in Mathematcs Level 2 or the NCSU Math Skills Test, or 2 or better on an AP Calculus exam. Credit is not allowed for both MA 131 and MA 121 or MA 141. | ||

First order finite difference models; derivatives - limits, power rule, graphing, and optimization; exponential and logarithmic functions - growth and decay models; integrals - computation, area, total change; applications in life, management, and social sciences. Credit not allowed for more than one of MA 121, 131, and 141 | ||

MA 132 | Computational Mathematics for Life and Management Sciences | UNITS: 1 - Offered in Fall Spring Summer |

Prerequisite: C- or better in MA 121 or MA 131 | ||

Computational aspects of calculus for the life and management sciences; use of spreadsheets and a computer algebra system; applications to data models, differential equation models, and optimization. | ||

MA 141 | Calculus I | UNITS: 4 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 111 or MA 108 with grade of C- or better, or 550 or better on the SAT Subject Test in Mathematics Level 2 or the NCSU Math Skills Test, or 2 or better on an AP Calculus exam. Credit is not allowed for both MA 141 and MA 121 or MA 131. | ||

First of three semesters in a calculus sequence for science and engineering majors. Functions, graphs, limits, derivatives, rules of differentiation, definite integrals, fundamental theorem of calculus, applications of derivatives and integrals. Use of computation tools. Credit is not allowed for more than one of MA 141, 131, 121 | ||

MA 151 | Calculus for Elementary Education I | UNITS: 3 - Offered in Fall Only, Mathematical Sciences |

Prerequisite: C- or better in MA 107 or MA 111, or 520 or better on the SAT Subject Test in Mathematcs Level 2 or the NCSU Math Skills Test, or 2 or better on an AP Calculus exam. Credit is not allowed for both MA 131 and MA 121 or MA 141. | ||

Calculus for Elementary Education I is the first semester of a two semester sequence of courses designed for the Elementary Education Program. Topics will include sequences, limit, and derivative. Also, topics related to teaching elementary mathematics will be discussed. Students cannot receive credit for more than one of MA 151, MA 121, MA 131, or MA 141. MA 151 is not an accepted prerequisite for MA 231 and MA 241. This course is restricted to Elementary Education majors only. | ||

MA 152 | Calculus for Elementary Education II | UNITS: 3 - Offered in Spring Only, Mathematical Sciences |

Prerequisite: MA 151 | ||

Calculus for Elementary Education II is the second semester of a two semester sequence of courses designed for the Elementary Education Program. Topics will include derivative, integrals, difference equations, and differential equations. Also, topics related to teaching elementary mathematics will be discussed. This course is restricted to Elementary Education majors only. Students cannot receive credit for both MA 152 and MA 121, MA 131, or MA 141. MA 152 is not an accepted prerequisite for MA 241. | ||

MA 205 | Elements of Matrix Computations | UNITS: 3 - Offered in Fall and Spring, Mathematical Sciences |

Prerequisite: C- in MA 121, 131, or 141 | ||

Complex numbers and Euler's formula. Vectors in 2-D and 3-D, lines, planes, vector products and determinants. Vectors in n-D, matrices and matrix products. Algebraic systems, row operations, inverse matrices and LU factors. Least squares, undetermined systems and null and column spaces. Applications to linear systems of differential equations and/or to visualization and image filters. Emphasis is on by-hand computations, but it is to include applications and computing tools. Students cannot receive credit for more than one of MA 205, MA 305, or MA 405. | ||

MA 225 | Foundations of Advanced Mathematics | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 241 | ||

Introduction to mathematical proof with focus on properties of the real number system. Elementary symbolic logic, mathematical induction, algebra of sets, relations, functions, countability. Algebraic and completeness properties of the reals. | ||

MA 231 | Calculus for Life and Management Sciences B | UNITS: 3 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 131. Credit is not allowed for both MA 231 and MA 241. | ||

Differential equations - population growth, flow processes, finance and investment models, systems; functions of several variables - partial derivatives, optimization, least squares, multiple integrals; Lagrange multiplier method - chain rule, gradient; Taylor polynomials and series; numerical methods. MA 121 is not an accepted prerequisite for MA 231. | ||

MA 241 | Calculus II | UNITS: 4 - Offered in Fall Spring Summer, Mathematical Sciences |

Prerequisite: MA 141 with grade of C- or better or AP Calculus credit. Credit is not allowed for both MA 241 and MA 231. | ||

Second of three semesters in a calculus sequence for science and engineering majors. Techniques and applications of integration, elementary differential equations, sequences, series, power series, and Taylor's Theorem. Use of computational tools. | ||

MA 242 | Calculus III | UNITS: 4 - Offered in Fall Spring Summer |

Prerequisite: MA 241 with grade of C- or better or AP Calculus credit, or Higher Level IB credit. | ||

Third of three semesters in a calculus sequence for science and engineering majors. Vectors, vector algebra, and vector functions. Functions of several variables, partial derivatives, gradients, directional derivatives, maxima and mimima. Multiple integration. Line and surface integrals, Green's Theorem, Divergence Theorems, Stokes' Theorem, and applications. Use of computational tools. | ||

MA 293 | Special Topics in Mathematics | UNITS: 1-6 - Offered in Fall Spring Summer |

Freshman-sophomore level experimental course offerings or directed individual study. | ||

MA 302 | Numerical Applications to Differential Equations | UNITS: 1 - Offered in Fall and Spring |

Prerequisite: MA 241 | ||

Numerical methods for approximating solutions for differential equations, with an emphasis on Runge-Kutta-Fehlberg methods with stepsize control. Applications to population, economic, orbital and mechanical models. | ||

MA 303 | Linear Analysis | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 241 | ||

Linear difference equations of first and second order, compound interest and amortization. Matrices and systems of linear equations, eigenvalues, diagonalization, systems of difference and differential equations, transform methods, population problems. Credit not allowed if credit has been obtained for MA 341 or MA 405 | ||

MA 305 | Introductory Linear Algebra and Matrices | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 241 or MA 231 with MA 132 | ||

The course is an elementary introduction to matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, Euclidean vector spaces, determinants, eigenvalues and eigenvectors, linear transformations, similarity, and applications such as numerical solutions of equations and computer graphics. Compares with MA 405 Introductory Linear Algebra, more emphasis is placed on methods and calculations,. Credit is not allowed for both MA 305 and MA 405. | ||

MA 308 | College Geometry | UNITS: 3 |

Prerequisite: MA 225 | ||

The axiomatic approach to mathematics. Congruences for triangles. Parallel postulate and consequences. Right triangles. Circles, tangents, chords. Area. Coordinate geometry. Lines and planes in space. Non-Euclidean geometries. | ||

MA (MEA) 315 | Mathematics Methods in Atmospheric Sciences | UNITS: 4 - Offered in Fall Only |

Prerequisite: MA 116, MA 141, MA 241; Corequisite: MA 242 | ||

For sophomore meteorology and marine science students. A complement to MA 242 designed to prepare students for quantitative atmospheric applications. Topics include an introduction to vectors and vector calculus, atmospheric waves, phase and group velocity, perturbation analysis, fourier decomposition, matrix operations, chaos and predictability. For MY, MMY, and MRM majors only. | ||

MA 325 | Introduction to Applied Mathematics | UNITS: 3 - Offered in Spring Only |

Prerequisite: (MA 231 or MA 242) and (MA 116 or CSC 112 or CSC 114 or CSC 116) | ||

Introduces students with multivariable calculus to five different areas of applied mathematics. These areas will be five three-week modules, which lead to higher level courses in the application areas. Topics will vary, and examples of modules areheat and mass transfer, biology and population, probability and finance, acoustic models, cryptography as well as others. | ||

MA 331 | Differential Equations for the Life Sciences | UNITS: 3 - Offered in Fall Only |

P: MA 231 or MA 241; X: Credit cannot be given for both MA 341 and MA 331 | ||

This course provides students with an understanding of how mathematics and life sciences can stimulate and enrich each other. The course topics include first order differential equations, separable equations, second order systems, vector and matrix systems, eigenvectors/eigenvalues, graphical and qualitative methods. The methods are motivated with examples from the biological sciences (growth models, kinetics and compartmental models, epidemic models, predator-prey, etc). Computational modeling will be carried out using SimBiology, a MATLAB toolbox based graphical user interface, which which automates and simplifies the process of modeling biological systems. Credit cannot be given for both MA 341 and MA 331. | ||

MA (LOG) 335 | Symbolic Logic | UNITS: 3 - Offered in Fall Only, Mathematical Sciences |

Introduction to modern symbolic logic; the concept of proof, mathematical induction, recursion and the relationship between formal and informal theories (examples: group theory, Peano arithmetic). The Goedel Theorems and the mathematical study of logic. | ||

MA 341 | Applied Differential Equations I | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 242 or (MA 132 and MA 231) | ||

Differential equations and systems of differential equations. Methods for solving ordinary differential equations including Laplace transforms, phase plane analysis, and numerical methods. Matrix techniques for systems of linear ordinary differential equations. Credit is not allowed for both MA 301 and MA 341 | ||

MA 351 | Introduction to Discrete Mathematical Models | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 224, 225, 231 or 241 | ||

Basic concepts of discrete mathematics, including graph theory, Markov chains, game theory, with emphasis on applications; problems and models from areas such as traffic flow, genetics, population growth, economics, and ecosystem analysis. | ||

MA 401 | Applied Differential Equations II | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 341; Credit not allowed for both MA 401 and MA 501 | ||

Wave, heat and Laplace equations. Solutions by separation of variables and expansion in Fourier Series or other appropriate orthogonal sets. Sturm-Liouville problems. Introduction to methods for solving some classical partial differential equations.Use of power series as a tool in solving ordinary differential equations. Credit for both MA 401 and MA 501 will not be given | ||

MA 402 | Mathematics of Scientific Computing | UNITS: 3 - Offered in Spring Only |

P: (MA 341 or MA 405) and programming proficiency (MATLAB, C++, Java, Fortran, or other language) | ||

This course will provide an overview of methods to solve quantitative problems and analyze data. The tools to be introduced are mathematical in nature and have links to Algebra, Analysis, Geometry, Graph Theory, Probability and Topology. Students will acquire an appreciation of (I) the fundamental role played by mathematics in countless applications and (II) the exciting challenges in mathematical research that lie ahead in the analysis of large data and uncertainties. Students will work on a project for each unit. While this is not a programming class, the students will do some programming through their projects. | ||

MA 403 | Introduction to Modern Algebra | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 225 | ||

Sets and mappings, equivalence relations, rings, integral domains, ordered integral domains, ring of integers. Other topics selected from fields, polynomial rings, real and complex numbers, groups, permutation groups, ideals, and quotient rings. Credit is not allowed for both MA 403 and MA 407 | ||

MA 405 | Introduction to Linear Algebra | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 241 (MA 225 recommended); Corequisite: MA 341 is recommended | ||

This course offiers a rigorous treatment of linear algebra, including systems of linear equations, matrices, determinants, abstract vector spaces, bases, linear independence, spanning sets, linear transformations, eigenvalues and eigenvectors, similarity, inner product spaces, orthogonality and orthogonal bases, factorization of matrices. Compared with MA 305 Introductory Linear Algebra, more emphasis is placed on theory and proofs. MA 225 is recommended as a prerequisite. Credit is not allowed for both MA 305 and MA 405 | ||

MA 407 | Introduction to Modern Algebra for Mathematics Majors | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 225 and MA 405 | ||

Elementary number theory, equivalence relations, groups, homomorphisms, cosets, Cayley's Theorem, symmetric groups, rings, polynomial rings, quotient fields, principal ideal domains, Euclidean domains. Credit is not allowed for both MA 403 and MA 407 | ||

MA 408 | Foundations of Euclidean Geometry | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 225 | ||

An examination of Euclidean geometry from a modern perspective. The axiomatic approach with alternative possibilities explored using models. | ||

MA 410 | Theory of Numbers | UNITS: 3 - Offered in Spring Only |

Prerequisite: One year of calculus | ||

Arithmetic properties of integers. Congruences, arithmetic functions, diophantine equations. Other topics chosen from quadratic residues, the quadratic reciprocity Law of Gauss, primitive roots, and algebraic number fields. | ||

MA (ST) 412 | Long-Term Actuarial Models | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 241 or MA 231, Corequisite: MA 421, BUS(ST) 350, ST 301, ST 305, ST 311, ST 361, ST 370, ST 371, ST 380 or equivalent | ||

Long-term probability models for risk management systems. Theory and applications of compound interest, probability distributions of failure time random variables, present value models of future contingent cash flows, applications to insurance, health care, credit risk, environmental risk, consumer behavior and warranties. | ||

MA (ST) 413 | Short-Term Actuarial Models | UNITS: 3 - Offered in Summer |

Prerequisite: MA 241 or MA 231, and one of MA 421, ST 301, ST 305, ST 370, ST 371, ST 380, ST 421. | ||

Short-term probability models for risk management systems. Frequency distributions, loss distributions, the individual risk model, the collective risk model, stochastic process models of solvency requirements, applications to insurance and businessdecisions. | ||

MA (CSC) 416 | Introduction to Combinatorics | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 225 or CSC 226 | ||

Basic principles of counting: addition and multiplication principles, generating functions, recursive methods, inclusion-exclusion, pigeonhole principle; basic concepts of graph theory: graphs, digraphs, connectedness, trees; additional topics from:Polya theory of counting, Ramsey theory; combinatorial optimization - matching and covering, minimum spanning trees, minimum distance, maximum flow; sieves; mobius inversion; partitions; Gaussian numbers and q-analogues; bijections and involutions; partially ordered sets. | ||

MA 421 | Introduction to Probability | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 242 | ||

Axioms of probability, conditional probability and independence, basic combinatorics, discrete and continuous random variables, joint densities and mass functions, expectation, central, limit theorem, simple stochastic processes. | ||

MA 425 | Mathematical Analysis I | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 225 (MA 407 desirable) | ||

Real number system, functions and limits, topology on the real line, continuity, differential and integral calculus for functions of one variable. Infinite series, uniform convergence. Credit is not allowed for both MA 425 and MA 511. | ||

MA 426 | Mathematical Analysis II | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 425 and 405 | ||

Calculus of several variables, topology in n-dimensions, limits, continuity, differentiability, implicit functions, integration. Credit is not allowed for both MA 426 and MA 512. | ||

MA (CSC) 427 | Introduction to Numerical Analysis I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341 or 301 and programming language efficiency | ||

Theory and practice of computational procedures including approximation of functions by interpolating polynomials, numerical differentiation and integration, and solution of ordinary differential equations including both initial value and boundary value problems. Computer applications and techniques. | ||

MA (CSC) 428 | Introduction to Numerical Analysis II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 405 or MA 305 and programming language proficiency. | ||

Computational procedures including direct and iterative solution of linear and nonlinear equations, matrices and eigenvalue calculations, function approximation by least squares, smoothing functions, and minimax approximations. | ||

MA 430 | Mathematical Models in the Physical Sciences | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341 and MA 405 | ||

Application of mathematical techniques to topics in the physical sciences. Problems from such areas as conservative and dissipative dynamics, calculus of variations, control theory, and crystallography. | ||

MA 432 | Mathematical Models in Life and Social Sciences | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 341, (MA 305 or MA 405), and programming proficiency; Corequisite: (MA 421 or ST 371) | ||

Topics from differential and difference equations, probability, and matrix algebra applied to formulation and analysis of mathematical models in biological and social science (e.g., population growth). | ||

MA 433 | History of Mathematics | UNITS: 3 |

Prerequisite: One year of calculus | ||

Development of mathematical thought and evolution of mathematical ideas examined in a historical setting. Biographical and historical content supplemented and reinforced by study of techniques and procedures used in earlier eras. | ||

MA 437 | Applications of Algebra | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 403 or 407, MA 405 | ||

Error correcting codes, cryptography, crystallography, enumeration techniques, exact solutions of linear equations, and block designs. | ||

MA 440 | Game Theory | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 231 or MA 242 | ||

Game Theory as a language for modeling situations involving conflict and cooperation in the social, behavioral, economic, and biological sciences. Backward induction; dominated strategies; Nash equilibria; games with incomplete information; repeated games; evolutionary dynamics. | ||

MA 444 | Problem Solving Strategies for Competitions | UNITS: 1 - Offered in Fall Only |

Analyze the most common problem-solving techniques and illustrate their use by interesting examples from past Putnam and Virginia Tech math competitions. Problem solving methods are divided into groups and taught by professors of the math department. After the lecture, students practice writing the solutions for the assignment and have informal discussions in the next class. | ||

MA 450 | Methods of Applied Mathematics I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341 | ||

Mathematical methods covered include dimensional analysis, asymptotics, continuum modeling and traffic flow analysis. These topics are discussed in the context of applications and real data. This course is independent of MA 451 Methods of Applied Mathematics II. | ||

MA 451 | Methods of Applied Mathematics II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 341 | ||

The mathematical methods of this course give insight into physical continuum processes such as fluid flow and the deformation of solid elastic materials. Techniques include the modeling and formulation of equations of motion, the use of Lagrangian and Eulerian variables; further topics are: examples of incompressible fluid flow, calculus of variations and applications to optimal control problems. This course is independent of MA 450 Methods of Applied Mathematics I. | ||

MA 491 | Reading in Honors Mathematics | UNITS: 1-6 - Offered in Fall and Spring |

Prerequisite: Membership in honors program | ||

A reading (independent study) course available as an elective for students participating in the mathematics honors program. | ||

MA 493 | Special Topics in Mathematics | UNITS: 1-6 - Offered in Fall and Spring |

Directed individual study or experimental course offerings. | ||

MA 494 | Major Paper in Math | UNITS: 1 - Offered in Fall Spring Summer |

Corequisite: MA class at the 400-level or above | ||

Introduces students to one or more forms of writing used in scientific and research environments. Students are required to take a companion math course at the 400-level or above, and adapt writing assignment(s) to the topics in the companion course.Instruction covers all phases of the writing process (planning, drafting, revising, and critiquing other people's work). Emphasis is placed on organizing for needs of a variety of readers; concise, clear expression. | ||

MA 499 | Independent Research in Mathematics | UNITS: 1-6 - Offered in Fall Spring Summer |

Study and research in mathematics. Topics for theoretical, modeling or computational investigation. Consent of Department Head. Honors Program should enroll in MA 491H. At most 6 hours total of MA 499 and 491H credit can be applied towards an undergraduate degree. | ||

MA 501 | Advanced Mathematics for Engineers and Scientists I | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 341; credit not allowed for both MA 501 and MA 401 | ||

Survey of mathematical methods for engineers and scientists. Ordinary differential equations and Green's functions; partial differential equations and separation of variables; special functions, Fourier series. Applications to engineering and science. Not for credit by mathematics majors. Credit for this course and MA 401 is not allowed | ||

MA 502 | Advanced Mathematics for Engineers and Scientists II | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 341. | ||

Determinants and matrices; line and surface integrals, integral theorems; complex integrals and residues; distribution functions of probability. Not for credit by mathematics majors. Any student receiving credit for MA 502 may receive credit for, atmost, one of the following: MA 405, MA 512, MA 513 | ||

MA (OR) 504 | Introduction to Mathematical Programming | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 242, MA 405 | ||

Basic concepts of linear, nonlinear and dynamic programming theory. Not for majors in OR at Ph.D. level. | ||

MA (ISE) (OR) 505 | Linear Programming | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405 | ||

Introduction including: applications to economics and engineering; the simplex and interior-point methods; parametric programming and post-optimality analysis; duality matrix games, linear systems solvability theory and linear systems duality theory; polyhedral sets and cones, including their convexity and separation properties and dual representations; equilibrium prices, Lagrange multipliers, subgradients and sensitivity analysis. | ||

MA 507 | Analysis For Secondary Teachers | UNITS: 3 - Offered in Fall and Summer, Offered Alternate Years |

Prerequisite: Graduate standing | ||

A course to update and broaden secondary teacher's capability and point-of-view with respect to topics in analysis. Historical development, logical refinement and applications of concepts such as limits, continuity, differentiation and integration. May be taken for graduate credit for certificate renewal by secondary school teachers. Credit towards graduate degree may be allowed only for students in mathematics education. | ||

MA 508 | Geometry For Secondary Teachers | UNITS: 3 - Offered in Spring and Summer, Offered Alternate Years |

Prerequisite: Graduate standing | ||

Topics in geometry of concern to secondary teachers in their work and provision for background and enrichment. Various approaches to study of geometry, including vector geometry, transformational geometry and axiomatics. Course may be taken for graduate credit and for certificate renewal by secondary school teachers. Credit towards a graduate degree may be allowed only for students in mathematics education. | ||

MA 509 | Abstract Algebra For Secondary Teachers | UNITS: 3 - Offered in Fall and Summer, Offered Alternate Years |

Prerequisite: Graduate standing | ||

From advanced viewpoint, an investigation of topics in algebra from high school curriculum. Theory of equations, polynomial rings, rational functions and elementary number theory. Course may be taken for graduate credit for certificate renewal by secondary school teachers. Credit towards a graduate degree may be allowed only for students in mathematics education. | ||

MA 510 | Selected Topics In Mathematics For Secondary Teachers | UNITS: 3 - Offered in Summer, Offered Alternate Years |

Prerequisite: Graduate standing | ||

Coverage of various topics in mathematics of concern to secondary teachers. Topics selected from areas such as mathematics of finance, probability, statistics, linear programming and theory of games, intuitive topology, recreational math, computers and applications of mathematics. Course may be taken for graduate credit for certification renewal by secondary school teachers. Credit towards a graduate degree may be allowed only for students in mathematics education. | ||

MA 511 | Advanced Calculus I | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 341 | ||

Fundamental theorems on continuous functions; convergence theory of sequences, series and integrals; the Riemann integral. Credit for both MA 425 and MA 511 is not allowed | ||

MA 512 | Advanced Calculus II | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 341 | ||

General theorems of partial differentiation; implicit function theorems; vector calculus in 3-space; line and surface integrals; classical integral theorems. Credit will not be given for both MA 426 and MA 512. | ||

MA 513 | Introduction To Complex Variables | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: MA 242 | ||

Operations with complex numbers, derivatives, analytic functions, integrals, definitions and properties of elementary functions, multivalued functions, power series, residue theory and applications, conformal mapping. | ||

MA 515 | Analysis I | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 426 | ||

Metric spaces: contraction mapping principle, Tietze extension theorem, Ascoli-Arzela lemma, Baire category theorem, Stone-Weierstrass theorem, LP spaces. Banach spaces: linear operators, Hahn-Banach theorem, open mapping and closed graph theorems. Hilbert spaces: projection theorem, Riesz representation theorem, Lax-Milgram theorem, complete orthonormal sets. | ||

MA 518 | A First Course in Differential Geometry | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405 and proficiency in multivariable calculus | ||

Geometry of curves and surfaces in space; Arclength, torsion, and curvature of curves; Tangent spaces, shape operators, and curvatures of surfaces; metrics, covariant derivatives, geodesics, and holonomy. Applications in the physical sciences and/or projects using computer algebra. | ||

MA 520 | Linear Algebra | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405 | ||

Vector spaces. Bases and dimension. Changes of basis. Linear transformations and their matrices. Linear functionals. Simultaneous triangularization and diagonalization. Rational and Jordan canonical forms. Bilinear forms. | ||

MA 521 | Abstract Algebra I | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 405 and MA 407 | ||

Groups, normal subgroups, quotient groups, Cayley's theorem, Sylow's theorem. Rings, ideals and quotient rings, polynomial rings. Elements of field theory. | ||

MA 522 | Computer Algebra | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 407 or MA 521 and MA 405 or MA 520 | ||

Basic techniques and algorithms of computer algebra. Integer arithmetic, primality tests and factorization of integers, polynomial arithmetic, polynomial factorization, Groebner bases, integration in finite terms. | ||

MA 523 | Linear Transformations and Matrix Theory | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405 | ||

Vector spaces, linear transformations and matrices, orthogonality, orthogonal transformations with emphasis on rotations and reflections, matrix norms, projectors, least squares, generalized inverses, definite matrices, singular values. | ||

MA 524 | Combinatorics I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405 and MA 407 | ||

Enumerative combinatorics, including placements of balls in bins, the twelvefold way, inclusion/exclusion, sign-reversing involutions and lattice path enumeration. Partically ordered sets, lattices, distributive lattices, Moebius functions, and rational generating functions. | ||

MA 526 | Algebraic Geometry | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 521 | ||

Abstract theory of solutions of systems of polynomial equations. Topics covered: ideals and affine varieties, the Nullstellensatz, irreducible varieties and primary decomposition, morphisms and rational maps, computational aspects including Groebner bases and elimination theory, projective varieties and homogeneous ideals, Grassmannians, graded modules, the Hilbert function, Bezout's theorem. | ||

MA (E) (OR) 531 | Dynamic Systems and Multivariable Control I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341, MA 405 | ||

Introduction to modeling, analysis and control of linear discrete-time and continuous-time dynamical systems. State space representations and transfer methods. Controllability and observability. Realization. Applications to biological, chemical, economic, electrical, mechanical and sociological systems. | ||

MA 532 | Ordinary Differential Equations I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341, 405, 425 or 511, Corequisite: MA 426 or 512 | ||

Existence and uniqueness theorems, systems of linear equations, fundamental matrices, matrix exponential, nonlinear systems, plane autonomous systems, stability theory. | ||

MA 534 | Introduction To Partial Differential Equations | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 425 or MA 511, MA 341, Corequisite: MA 426 or 512 | ||

Linear first order equations, method of characteristics. Classification of second order equations. Solution techniques for the heat equation, wave equation and Laplace's equation. Maximum principles. Green's functions and fundamental solutions. | ||

MA 537 | Nonlinear Dynamics and Chaos | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 341 and MA 405 | ||

Usage of computer experiments for demonstration of nonlinear dynamics and chaos and motivation of mathematical definitions and concepts. Examples from finance and ecology as well as traditional science and engineering. Difference equations and iteration of functions as nonlinear dynamical systems. Fixed points, periodic points and general orbits. Bifurcations and transition to chaos. Symbolic dynamics, chaos, Sarkovskii's Theorem, Schwarzian derivative, Newton's method and fractals. | ||

MA 540 | Uncertainty Quantification for Physical and Biological Models | UNITS: 3 - Offered in Spring Only, Offered Alternate Even Years |

Prerequisite: MA 341 and basic knowledge of probability, linear algebra, and scientific computation | ||

Introduction to uncertainty quantification for physical and biological models. Parameter selection techniques, Bayesian model calibration, propagation of uncertainties, surrogate model construction, local and global sensitivity analysis. | ||

MA 544 | Computer Experiments In Mathematical Probability | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 421 | ||

Exposure of student to practice of performing mathematical experiments on computer, with emphasis on probability. Programming in an interactive language such as APL, MATLAB or Mathematica. Mathematical treatment of random number generation and application of these tools to mathematical topics in Monte Carlo method, limit theorems and stochastic processes for purpose of gaining mathematical insight. | ||

MA (ST) 546 | Probability and Stochastic Processes I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 421 and MA 425 or MA 511 | ||

Modern introduction to Probability Theory and Stochastic Processes. The choice of material is motivated by applications to problems such as queueing networks, filtering and financial mathematics. Topics include: review of discrete probability and continuous random variables, random walks, markov chains, martingales, stopping times, erodicity, conditional expectations, continuous-time Markov chains, laws of large numbers, central limit theorem and large deviations. | ||

MA 547 | Financial Mathematics | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA(ST) 546 | ||

Stochastic models of financial markets. No-arbitrage derivativepricing. From discrete to continuous time models. Brownian motion, stochastic calculus, Feynman-Kac formula and tools for European options and equivalent martingale measures. Black-Scholes formula. Hedging strategies and management of risk. Optimal stopping and American options. Term structure models and interest rate derivatives. Stochastic volatility models. | ||

MA (FIM) 548 | Monte Carlo Methods for Financial Math | UNITS: 3 - Offered in Spring Only |

Prerequisites: (MA 421 or ST 421), MA 341, and MA 405 | ||

Monte Carlo (MC) methods for accurate option pricing, hedging and risk management. Modeling using stochastic asset models (e.g. geometric Brownian motion) and parameter estimation. Stochastic models, including use of random number generators, random paths and discretization methods (e.g. Euler-Maruyama method), and variance reduction. Implementation using Matlab. Incorporation of the latest developments regarding MC methods and their uses in Finance. | ||

MA (FIM) 549 | Financial Risk Analysis | UNITS: 3 - Offered in Spring Only |

Prerequisites: MA 405 and (MA 421 or ST 421) and (MA/ST 412 or MA/ST 413) | ||

This course focuses on mathematical methods to analyze and manage risks associated with financial derivatives. Topics covered include aggregate loss distributions, extreme value theory, default probabilities, Value-at-Risk and expected shortfall, coherent risk measures, correlation and copula, applications of principle component analysis and Monte Carlo simulations in financial risk management, how to use stochastic differential equations to price financial risk derivatives, and how to back-test and stress-test models. | ||

MA 551 | Introduction to Topology | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 426 | ||

Set theory, topological spaces, metric spaces, continuous functions, separation, cardinality properties, product and quotient topologies, compactness, connectedness. | ||

MA 555 | Introduction to Manifold Theory | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 426 or MA 512 | ||

(See MA - Mathematics.) | ||

MA 561 | Set Theory and Foundations Of Mathematics | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 407 | ||

Logic and axiomatic approach, the Zermelo-Fraenkel axioms and other systems, algebra of sets and order relations, equivalents of the Axiom of Choice, one-to-one correspondences, cardinal and ordinal numbers, the Continuum Hypothesis. | ||

MA (CSC) (OR) 565 | Graph Theory | UNITS: 3 - Offered in Spring Only, Offered Alternate Even Years |

Prerequisite: CSC 224 or MA 351. | ||

Basic concepts of graph theory. Trees and forests. Vector spaces associated with a graph. Representation of graphs by binary matrices and list structures. Traversability. Connectivity. Matchings and assignment problems. Planar graphs. Colorability. Directed graphs. Applications of graph theory with emphasis on organizing problems in a form suitable for computer solution. | ||

MA (BMA) 573 | Mathematical Modeling of Physical and Biological Processes I | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 341 and knowledge of high-level programming language. | ||

Introduction to model development for physical and biological applications. Mathematical and statistical aspects of parameter estimation. Compartmental analysis and conservation laws, heat transfer, and population and disease models. Analytic and numerical solution techniques and experimental validation of models. Knowledge of high-level programming languages required. | ||

MA (BMA) 574 | Mathematical Modeling of Physical and Biological Processes II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA/BMA 573 | ||

Model development, using Newtonian and Hamiltonian principles, for acoustic and fluid applications, and structural systems including membranes, rods, beams, and shells. Fundamental aspects of electromagnetic theory. Analytic and numerical solution techniques and experimental validation of models. | ||

MA (CSC) 580 | Numerical Analysis I | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 405; MA 425 or MA 511; high-level computer language | ||

Algorithm behavior and applicability. Effect of roundoff errors, systems of linear equations and direct methods, least squares via Givens and Householder transformations, stationary and Krylov iterative methods, the conjugate gradient and GMRES methods, convergence of method. | ||

MA (CSC) 583 | Introduction to Parallel Computing | UNITS: 3 - Offered in Spring Only |

Prerequisite: CSC 302 or MA 402 or MA/CSC 428 or MA/CSC 580 | ||

Introduction to basic parallel architectures, algorithms and programming paradigms; message passing collectives and communicators; parallel matrix products, domain decomposition with direct and iterative methods for linear systems; analysis of efficiency, complexity and errors; applications such as 2D heat and mass transfer. | ||

MA 584 | Numerical Solution of Partial Differential Equations--Finite Difference Methods | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 501; knowledge of a high level programming language | ||

Survey of finite difference methods for partial differential equations including elliptic, parabolic and hyperbolic PDE's. Consideration of both linear and nonlinear problems. Theoretical foundations described; however, emphasis on algorithm design and implementation. | ||

MA 587 | Numerical Solution of Partial Differential Equations--Finite Element Method | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 501; knowledge of a high level programming language | ||

Introduction to finite element method. Applications to both linear and nonlinear elliptic and parabolic partial differential equations. Theoretical foundations described; however, emphasis on algorithm design and implementation. | ||

MA 591 | Special Topics | UNITS: 1-6 - Offered in Fall and Spring |

MA 676 | Master's Project | UNITS: 3 - Offered in Fall Spring Summer |

Investigation of some topic in mathematics to a deeper and broader extent than typically done in a classroom situation. For the applied mathematics student the topic usually consists of a realistic application of mathematics to student's minor area.A written and oral report on the project required. | ||

MA 685 | Master's Supervised Teaching | UNITS: 1-3 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. | ||

MA 688 | Non-Thesis Masters Continuous Registration - Half Time Registration | UNITS: 1 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain half-time continuous registration to complete incomplete grades, projects, final master's exam, etc. | ||

MA 689 | Non-Thesis Master Continuous Registration - Full Time Registration | UNITS: 3 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain full-time continuous registration to complete incomplete grades, projects, final master's exam, etc. Students may register for this course a maximum of one semester. | ||

MA 690 | Master's Examination | UNITS: 1-6 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

For students in non thesis master's programs who have completed all other requirements of the degree except preparing for and taking the final master's exam. | ||

MA 693 | Master's Supervised Research | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

Instruction in research and research under the mentorship of a member of the Graduate Faculty. | ||

MA 695 | Master's Thesis Research | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

Thesis Research | ||

MA 696 | Summer Thesis Research | UNITS: 1 - Offered in Summer |

Prerequisite: Master's student | ||

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. | ||

MA 699 | Master's Thesis Preparation | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Master's student | ||

For students who have completed all credit hour requirements and full-time enrollment for the master's degree and are writing and defending their thesis. Credits Arranged | ||

MA (OR) (ST) 706 | Nonlinear Programming | UNITS: 3 - Offered in Spring Only |

Prerequisite: OR(IE,MA) 505 and MA 425 | ||

An advanced mathematical treatment of analytical and algorithmic aspects of finite dimensional nonlinear programming. Including an examination of structure and effectiveness of computational methods for unconstrained and constrained minimization. Special attention directed toward current research and recent developments in the field. | ||

MA (ISE) (OR) 708 | Integer Programming | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 405, OR (MA,IE) 505, Corequisite: Some familiarity with computers (e.g., CSC 112) | ||

General integer programming problems and principal methods of solving them. Emphasis on intuitive presentation of ideas underlying various algorithms rather than detailed description of computer codes. Students have some "hands on" computing experience that should enable them to adapt ideas presented in course to integer programming problems they may encounter. | ||

MA 715 | Analysis II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 515 | ||

Integration: Legesgue measure and integration, Lebesgue-dominated convergence and monotone convergence theorems, Fubini's theorem, extension of the fundamental theorem of calculus. Banach spaces: Lp spaces, weak convergence, adjoint operators, compact linear operators, Fredholm-Fiesz Schauder theory and spectral theorem. | ||

MA 716 | Advanced Functional Analysis | UNITS: 3 - Offered in Fall Only, Offered Alternate Years |

Prerequisite: MA 715 | ||

Advanced topics in functional analysis such as linear topological spaces; Banach algebra, spectral theory and abstract measure theory and integration. | ||

MA (OR) 719 | Vector Space Methods in System Optimization | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 405, 511 | ||

Introduction to algebraic and function-analytic concepts used in system modeling and optimization: vector space, linear mappings, spectral decomposition, adjoints, orthogonal projection, quality, fixed points and differentials. Emphasis on geometricinsight. Topics include least square optimization of linear systems, minimum norm problems in Banach space, linearization in Hilbert space, iterative solution of system equations and optimization problems. Broad range of applications in operations research and system engineering including control theory, mathematical programming, econometrics, statistical estimation, circuit theory and numerical analysis. | ||

MA 720 | Lie Algebras | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 520, MA 521 | ||

Definition of Lie algebras and examples. Nilpotent, solvable and semisimple Lie algebras. Engel's theorem, Lie's Theorem, Killing form and Cartan's criterion. Weyl's theorem on complete reducibility. Representations of s1(2,C). Root space decomposition of semisimple Lie algebras. Root system and Weyl group. | ||

MA 721 | Abstract Algebra II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 521 | ||

Field extensions, Galois theory, modules, tensor products, exterior products. | ||

MA 722 | Computer Algebra II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 522 | ||

Effective algorithms for symbolic matrices, commutative algebra, real and complex algebraic geometry, and differential and difference equations. The emphasis is on the algorithmic aspects. | ||

MA 723 | Theory of Matrices and Applications | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 520 or 523 | ||

Canonical forms, functions of matrices, variational methods, perturbation theory, numerical methods, nonnegative matrices, applications to differential equations, Markov chains. | ||

MA 724 | Combinatorics II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 524 | ||

Polytopes(V-polytopes and H-polytopes). Fourier-Motzkin elimination, Farkas Lemma, face numbers of polytopes, graphs of polytopes, linear programming for geometers, Balinski's Theorem, Steinitz' Theorem, Schlegel diagrams, polyhedral complexes, shellability, and face rings. | ||

MA 725 | Lie Algebra Representation Theory | UNITS: 3 - Offered in Fall Only, Offered Alternate Odd Years |

Prerequisite: MA 720 | ||

Semisimple Lie algebras, root systems, Weyl groups, Cartan matrices and Dynkin diagrams, universal enveloping algebras, Serre's Theorem, Kac-Moody algebras, highest weight representations of finite dimensional semisimple algebras and affine Lie algebras, Kac-Weyl character formula. | ||

MA (E) (OR) 731 | Dynamic Systems and Multivariable Control II | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 531 | ||

Stability of equilibrium points for nonlinear systems. Liapunov functions. Unconstrained and constrained optimal control problems. Pontryagin's maximum principle and dynamic programming. Computation with gradient methods and Newton methods. Multidisciplinary applications. | ||

MA 732 | Ordinary Differential Equations II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 532, Corequisite: MA 515 | ||

Existence-uniqueness theory, periodic solutions, invariant manifolds, bifurcations, Fredholm's alternative. | ||

MA 734 | Partial Differential Equations | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 534, Corequisite: MA 515 | ||

Linear second order parabolic, elliptic and hyperbolic equations. Initial value problems and boundary value problems. Iterative and variational methods. Existence, uniqueness and regularity. Nonlinear equations and systems. | ||

MA (ST) 746 | Introduction To Stochastic Processes | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 405 and MA(ST) 546 or ST 521 | ||

Markov chains and Markov processes, Poisson process, birth and death processes, queuing theory, renewal theory, stationary processes, Brownian motion. | ||

MA (ST) 747 | Probability and Stochastic Processes II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA(ST) 546 | ||

Fundamental mathematical results of probabilistic measure theory needed for advanced applications in stochastic processes. Probability measures, sigma-algebras, random variables, Lebesgue integration, expectation and conditional expectations w.r.t.sigma algebras, characteristic functions, notions of convergence of sequences of random variables, weak convergence of measures, Gaussian systems, Poisson processes, mixing properties, discrete-time martingales, continuous-time markov chains. | ||

MA (ST) 748 | Stochastic Differential Equations | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA(ST) 747 | ||

Theory of stochastic differential equations driven by Brownian motions. Current techniques in filtering and financial mathematics. Construction and properties of Brownian motion, wiener measure, Ito's integrals, martingale representation theorem, stochastic differential equations and diffusion processes, Girsanov's theorem, relation to partial differential equations, the Feynman-Kac formula. | ||

MA 753 | Algebraic Topology | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 551 | ||

Homotopy, fundamental group, covering spaces, classification of surfaces, homology and cohomology. | ||

MA 755 | Introduction To Riemannian Geometry | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 555 | ||

Tensor algebra on vector spaces and tensor fields on manifolds; Koszul connections; parallel transport; torsion and curvature of connections; the Bianchi identities; metric tensor fields; metric and Levi-Civita connections; the Riemannian curvature,Ricci and Einstein tensors. Special topics: general relativity, embedding theory, integration on manifolds, the Gauss-Bonnet theorem, De Rahm cohomology. | ||

MA (ISE) (OR) 766 | Network Flows | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: OR(IE,MA) 505 | ||

Study of problems of flows in networks. These problems include the determination of shortest chain, maximal flow and minimal cost flow in networks. Relationship between network flows and linear programming developed as well as problems with nonlinear cost functions, multi-commodity flows and problem of network synthesis. | ||

MA (BMA) (ST) 771 | Biomathematics I | UNITS: 3 - Offered in Fall Only |

Prerequisite: Advanced calculus, reasonable background in biology | ||

Role of theory construction and model building in development of experimental science. Historical development of mathematical theories and models for growth of one-species populations (logistic and off-shoots), including considerations of age distributions (matrix models, Leslie and Lopez; continuous theory, renewal equation). Some of the more elementary theories on the growth of organisms (von Bertalanffy and others; allometric theories; cultures grown in a chemostat). Mathematical theories oftwo and more species systems (predator-prey, competition, symbosis; leading up to present-day research) and discussion of some similar models for chemical kinetics. Much emphasis on scrutiny of biological concepts as well as of mathematical structureof models in order to uncover both weak and strong points of models discussed. Mathematical treatment of differential equations in models stressing qualitative and graphical aspects, as well as certain aspects of discretization. Difference equation models. | ||

MA (BMA) (ST) 772 | Biomathematics II | UNITS: 3 - Offered in Spring Only |

Prerequisite: BMA 771, elementary probability theory | ||

Continuation of topics of BMA 771. Some more advanced mathematical techniques concerning nonlinear differential equations of types encountered in BMA 771: several concepts of stability, asymptotic directions, Liapunov functions; different time-scales. Comparison of deterministic and stochastic models for several biological problems including birth and death processes. Discussion of various other applications of mathematics to biology, some recent research. | ||

MA (BMA) (OR) (ST) 773 | Stochastic Modeling | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: BMA 772 or ST (MA) 746 | ||

Survey of modeling approaches and analysis methods for data from continuous state random processes. Emphasis on differential and difference equations with noisy input. Doob-Meyer decomposition of process into its signal and noise components. Examples from biological and physical sciences, and engineering. Student project. | ||

MA (BMA) (OR) 774 | Partial Differential Equation Modeling in Biology | UNITS: 3 - Offered in Spring Only |

Prerequisite: BMA 771 or MA/OR 731; BMA 772 or MA 401 or MA 501 | ||

Modeling with and analysis of partial differential equations as applied to real problems in biology. Review of diffusion and conservation laws. Waves and pattern formation. Chemotaxis and other forms of cell and organism movement. Introduction to solid and fluid mechanics/dynamics. Introductory numerical methods. Scaling. Perturbations, Asymptotics, Cartesian, polar and spherical geometries. Case studies. | ||

MA 778 | Measure Theory and Advanced Probability | UNITS: 3 - Offered in Fall and Spring |

Prerequisite: MA 426; ST 521 or MA(ST) 546 | ||

Modern measure and integration theory in abstract spaces. Probability measures, random variables, expectations. Distributions and characteristic functions. Modes of convergence. Independence, zero-one laws, laws of large numbers, three-series theorem. Central limit problem. Conditional expectations, martingales and martingale convergence theorems. | ||

MA (ST) 779 | Advanced Probability | UNITS: 3 - Offered in Fall Only |

Prerequisite: MA 425 and ST 521. | ||

Sets and classes, sigma-fields and related structures, probability measures and extensions, random variables, expectation and integration, uniform integrability, inequalities, L_p-spaces, product spaces, independence, zero-one laws, convergence notions, characteristic functions, simplest limit theorems, absolute continuity, conditional expectation and conditional probabilities, martingales. | ||

MA (CSC) 780 | Numerical Analysis II | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 580 | ||

Approximation and interpolation, Fast Fourier Transform, numerical differentiation and integration, numerical solution of initial value problems for ordinary differential equations. | ||

MA 784 | Nonlinear Equations and Unconstrained Optimization | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 580 | ||

Newton's method and Quasi-Newton methods for nonlinear equations and optimization problems, globally convergent extensions, methods for sparse problems, applications to differential equations, integral equations and general minimization problems. Methods appropriate for boundary value problems. | ||

MA 785 | Numerical Solution of Ordinary Differential Equations | UNITS: 3 - Offered in Spring Only |

Prerequisite: MA 511 or 512 | ||

Numerical methods for initial value problems including predictor-corrector, Runge-Kutta, hybrid and extrapolation methods; stiff systems; shooting methods for two-point boundary value problems; weak, absolute and relative stability results. | ||

MA 788 | Numerical Nonlinear Partial Differential Equations | UNITS: 3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: MA 405 or 520 and MA 501 or 534; knowledge of a high level programming language | ||

Nonlinear discrete equations; Newton and monotone methods for nonlinear equations; computational algorithms and applications; finite difference method-convergence, stability and error estimates; multiplicity of solutions and bifurcation; asymptotic behavior of solutions; and coupled systems of equations. | ||

MA (ISE) (OR) 790 | Advanced Special Topics System Optimization | UNITS: 1-3 - Offered in Fall and Spring |

Advanced topics in some phase of system optimization using traditional course format. Identification of various specific topics and prerequisites for each section from term to term. | ||

MA 791 | Special Topics In Real Analysis | UNITS: 1-6 - Offered in Fall and Spring |

MA 792 | Special Topics In Algebra | UNITS: 1-6 - Offered in Fall and Spring |

MA 793 | Special Topics In Differential Equations | UNITS: 1-6 |

MA 795 | Special Topics In Topology | UNITS: 1-6 |

MA 796 | Special Topics In Combinatorial Analysis | UNITS: 1-6 |

MA 797 | Special Topics In Applied Mathematics | UNITS: 1-6 |

MA 798 | Special Topics In Numerical Analysis | UNITS: 1-6 |

MA 810 | Special Topics | UNITS: 1-3 - Offered in Fall and Spring |

MA (ISE) (OR) 812 | Special Topics in Mathematical Programming | UNITS: 1-3 - Offered in Spring Only, Offered Alternate Years |

Prerequisite: IE(MA,OR) 505 | ||

Study of special advanced topics in area of mathematical programming. Discussion of new techniques and current research in this area. The faculty responsible for this course select areas to be covered during semester according to their preference and interest. This course not necessarily taught by an individual faculty member but can, on occasion, be joint effort of several faculty members from this university as well as visiting faculty from other institutions. To date, a course of Theory of Networks and another on Integer Programming offered under the umbrella of this course. Anticipation that these two topics will be repeated in future together with other topics. | ||

MA (ISE) (OR) 816 | Advanced Special Topics Sys Opt | UNITS: 1-3 - Offered in Fall and Spring |

Advanced topics in some phase of system optimization. Identification of various specific topics and prerequisite for each section from term to term. | ||

MA 885 | Doctoral Supervised Teaching | UNITS: 1-3 - Offered in Fall Spring Summer |

Prerequisite: Doctoral student | ||

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. | ||

MA 890 | Doctoral Preliminary Examination | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Doctoral student | ||

For students who are preparing for and taking written and/or oral preliminary exams. | ||

MA 893 | Doctoral Supervised Research | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Doctoral student | ||

Instruction in research and research under the mentorship of a member of the Graduate Faculty. | ||

MA 895 | Doctoral Dissertation Research | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Doctoral student | ||

Dissertation Research | ||

MA 896 | Summer Dissertation Research | UNITS: 1 - Offered in Summer |

Prerequisite: Doctoral student | ||

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. | ||

MA 899 | Doctoral Dissertation Preparation | UNITS: 1-9 - Offered in Fall Spring Summer |

Prerequisite: Doctoral student | ||

For students who have completed all credit hour requirements, full-time enrollment, preliminary examination, and residency requirements for the doctoral degree, and are writing and defending their dissertations. | ||