# Mathematics (MATH)

MATH 0100. Algebra Review. 4 Hours.

Designed for arts and sciences, criminal justice, and other majors who need to build their algebraic skills in order to succeed in the next math or math-related courses required by their major. Most students are directed to this course as a result of placement tests. Concepts include solving first- and second-degree equations, understanding slopes and graphs of lines, solving simultaneous equations in several variables, solving rational equations, and graphing inequalities. Requires the analysis and solution of word problems. (Does not count toward graduation credit.).

MATH 1000. Mathematics at Northeastern. 1 Hour.

Designed for freshman math majors to introduce them to one another, their major, their college, and the University. Students are introduced to our advising system, register for next semester’s courses, and learn more about co-op. Also helps students develop the academic and interpersonal skills necessary to succeed as a university student. Prereq. Mathematics majors only.

MATH 1110. College Algebra. 4 Hours.

Covers laws of exponents, roots, graphing of equations and inequalities, special curves (that is, conic sections), functions and operations on functions, complex numbers, matrices, and vectors. If time permits, also explores elementary discrete probability and least squares curve fitting. Prereq. Not open to students in the College of Computer and Information Science.

MATH 1120. Precalculus. 4 Hours.

Focuses on linear, polynomial, exponential, logarithmic, and trigonometric functions. Emphasis is placed on understanding, manipulating, and graphing these basic functions, their inverses and compositions, and using them to model real-world situations (that is, exponential growth and decay, periodic phenomena). Equations involving these functions are solved using appropriate techniques. Special consideration is given to choosing reasonable functions to fit numerical data. Prereq. Not open to students in the College of Computer and Information Science.

MATH 1130. College Math for Business and Economics. 4 Hours.

Introduces students to some of the important mathematical concepts and tools (such as modeling revenue, cost and profit with functions) used to solve problems in business and economics. Assumes familiarity with the basic properties of linear, polynomial, exponential, and logarithmic functions. Topics include the method of least squares, regression curves, solving equations involving functions, compound interest, amortization, and other consumer finance models. (Graphing calculator required, see instructor for make and model.) Prereq. Not open to students in the College of Computer and Information Science.

MATH 1180. Statistical Thinking. 4 Hours.

Introduces statistical thinking to students without using any sophisticated mathematics. Uses extensive class discussion and homework problems to cover statistical reasoning and to evaluate critically the usage of statistics by others. Readings from a wide variety of sources are assigned. Topics include descriptive statistics, sampling theory, and fundamentals of statistical inference (confidence intervals and hypothesis testing). Prereq. Not open to students in the College of Computer and Information Science.

MATH 1213. Interactive Mathematics. 4 Hours.

Develops problem-solving skills while simultaneously teaching mathematics concepts. Each unit centers on a particular applied problem, which serves to introduce the relevant mathematical topics. These may include but are not limited to polling theory, rate of change, the concepts behind derivatives, probability, binomial distributions, and statistics. The course is not taught in the traditional lecture format and is particularly suited to students who work well in collaborative groups and who enjoy writing about the concepts they are learning. Assessment is based on portfolios, written projects, solutions to “problems of the week,” and exams. Prereq. Not open to students in the College of Computer and Information Science.

MATH 1215. Mathematical Thinking. 4 Hours.

Focuses on the development of mathematical thinking and its use in a variety of contexts to translate real-world problems into mathematical form and, through analysis, to obtain new information and reach conclusions about the original problems. Mathematical topics include symbolic logic, truth tables, valid arguments, counting principles, and topics in probability theory such as Bayes’ theorem, the binomial distribution, and expected value.

MATH 1216. Recitation for MATH 1215. 0 Hours.

Provides small-group discussion format to cover material in MATH 1215.

MATH 1220. Mathematics of Art. 4 Hours.

Presents mathematical connections and foundations for art. Topics vary and may include aspects of linear perspective and vanishing points, symmetry and patterns, tilings and polygons, Platonic solids and polyhedra, golden ratio, non-Euclidean geometry, hyperbolic geometry, fractals, and other topics. Includes connections and examples in different cultures.

MATH 1225. Game Theory. 4 Hours.

Uses the unifying theme of game theory to explore mathematical techniques for gaining an understanding of real-world problems. Includes matrix algebra, linear programming, probability, trees, von Neumann’s minimax theorem, and Nash’s theorem on equilibrium points. Considers zero-sum and non-zero-sum games, multiperson games, and the prisoner’s dilemma. Explores the applications of game theory, including conflict analysis, and various issues in psychology, sociology, political science, economics, and business. Prereq. Mathematics SAT of at least 600 or permission of instructor.

MATH 1231. Calculus for Business and Economics. 4 Hours.

Provides an overview of differential calculus including derivatives of power, exponential, logarithmic, logistic functions, and functions built from these. Derivatives are used to model rates of change, to estimate change, to optimize functions, and in marginal analysis. The integral calculus is applied to accumulation functions and future value. Emphasis is on realistic business and economics problems, the development of mathematical models from raw business data, and the translation of mathematical results into verbal expression appropriate for the business setting. Also features a semester-long marketing project in which students gather raw data, model it, and use calculus to make business decisions; each student is responsible for a ten-minute presentation. (Graphing calculator required, see instructor for make and model.).

MATH 1241. Calculus 1. 4 Hours.

Serves as both the first half of a two-semester calculus sequence and as a self-contained one-semester course in differential and integral calculus. Introduces basic concepts and techniques of differentiation and integration and applies them to polynomial, exponential, log, and trigonometric functions. Emphasizes the derivative as rate of change and integral as accumulator. Applications include optimization, growth and decay, area, volume, and motion. Prereq. Not open to students in the College of Computer and Information Science.

MATH 1242. Calculus 2. 4 Hours.

Continues MATH 1241. Introduces additional techniques of integration and numerical approximations of integrals and the use of integral tables; further applications of integrals. Also introduces differential equations and slope fields, and elementary solutions. Introduces functions of several variables, partial derivatives, and multiple integrals. Prereq. MATH 1231, MATH 1241, or MATH 1341; not open to students in the College of Computer and Information Science.

MATH 1251. Calculus and Differential Equations for Biology 1. 4 Hours.

Begins with the fundamentals of differential calculus and proceeds to the specific type of differential equation problems encountered in biological research. Presents methods for the solutions of these equations and how the exact solutions are obtained from actual laboratory data. Topics include differential calculus: basics, the derivative, the rules of differentiation, curve plotting, exponentials and logarithms, and trigonometric functions; using technology to understand derivatives; biological kinetics: zero- and first-order processes, processes tending toward equilibrium, bi- and tri-exponential processes, and biological half-life; differential equations: particular and general solutions to homogeneous and nonhomogeneous linear equations with constant coefficients, systems of two linear differential equations; compartmental problems: nonzero initial concentration, two-compartment series dilution, diffusion between compartments, population dynamics; and introduction to integration.

MATH 1252. Calculus and Differential Equations for Biology 2. 4 Hours.

Continues MATH 1251. Begins with the integral calculus and proceeds quickly to more advanced topics in differential equations. Introduces linear algebra and uses matrix methods to analyze functions of several variables and to solve larger systems of differential equations. Advanced topics in reaction kinetics are covered. The integral and differential calculus of functions of several variables is followed by the study of numerical methods in integration and solutions of differential equations. Provides a short introduction to probability. Covers Taylor polynomials and infinite series. Special topics include reaction kinetics: Michaelis-Menten processes, tracer experiments, and inflow and outflow through membranes. Prereq. MATH 1251.

MATH 1260. Math Fundamentals for Games. 4 Hours.

Discusses linear algebra and vector geometry in two-, three-, and four-dimensional space. Examines length, dot product, and trigonometry. Introduces linear and affine transformations. Discusses complex numbers in two-space, cross product in three-space, and quaternions in four-space. Provides explicit formulas for rotations in three-space. Examines functions of one argument and treats exponentials and logarithms. Describes parametric curves in space. Discusses binomials, discrete probability, Bézier curves, and random numbers. Concludes with the concept of the derivative, the rules for computing derivatives, and the notion of a differential equation.

MATH 1340. Intensive Calculus for Engineers. 6 Hours.

Contains the material from the first semester of MATH 1341, preceded by material emphasizing the strengthening of precalculus skills. Topics include properties of exponential, logarithmic, and trigonometric functions; differential calculus; and introductory integral calculus.

MATH 1341. Calculus 1 for Science and Engineering. 4 Hours.

Covers definition, calculation, and major uses of the derivative, as well as an introduction to integration. Topics include limits; the derivative as a limit; rules for differentiation; and formulas for the derivatives of algebraic, trigonometric, and exponential/logarithmic functions. Also discusses applications of derivatives to motion, density, optimization, linear approximations, and related rates. Topics on integration include the definition of the integral as a limit of sums, antidifferentiation, the fundamental theorem of calculus, and integration by substitution.

MATH 1342. Calculus 2 for Science and Engineering. 4 Hours.

Covers further techniques and applications of integration, infinite series, and introduction to vectors. Topics include integration by parts; numerical integration; improper integrals; separable differential equations; and areas, volumes, and work as integrals. Also discusses convergence of sequences and series of numbers, power series representations and approximations, 3D coordinates, parameterizations, vectors and dot products, tangent and normal vectors, velocity, and acceleration in space. Prereq. MATH 1341 or permission of head mathematics advisor.

MATH 1343. Calculus 2 for Engineering Technology. 4 Hours.

Builds upon the differential and integral calculus topics in MATH 1341 to develop additional tools such as partial derivatives and multiple integrals needed by students of engineering technology. This course is not equivalent to MATH 1342. Prereq. MATH 1341.

MATH 1352. Recitation for MATH 1342. 0 Hours.

Provides small-group discussion format to cover material in MATH 1342.

MATH 1365. Introduction to Mathematical Reasoning. 4 Hours.

Covers the basics of mathematical reasoning and problem solving to prepare incoming math majors for more challenging mathematical courses at Northeastern. Focuses on learning to write logically sound mathematical arguments and to analyze such arguments appearing in mathematical books and courses. Includes fundamental mathematical concepts such as sets, relations, and functions.

MATH 1990. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 2201. History of Mathematics. 4 Hours.

Traces the development of mathematics from its earliest beginning to the present. Emphasis is on the contributions of various cultures including the Babylonians, Egyptians, Mayans, Greeks, Indians, and Arabs. Computations and constructions are worked out using the techniques and notations of these peoples. The role of mathematics in the development of science is traced throughout, including the contributions of Descartes, Kepler, Fermat, and Newton. More modern developments are discussed as time permits.

MATH 2210. Foundations of Mathematics. 4 Hours.

Investigates the modern revolutions in mathematics initiated by Cantor, Gödel, Turing, and Robinson in the fields of set theory, provability, computability, and analysis respectively, as well as provides background on the controversy over the philosophy and underlying logic of mathematics.

MATH 2230. Mathematical Encounters. 4 Hours.

Covers interesting and significant developments in pure and applied mathematics, from ancient times to the present. Fundamental mathematical ideas have a power and utility that are undeniable and a beauty and clarity that can be inspirational. Selected topics may include: prime and irrational numbers, different infinities and different geometries, map coloring, and famous unsolved and recently solved problems. Provides students with an opportunity for hands-on experience actually doing some of the mathematics discussed and to research topics in the library and on the Web. Prereq. MATH 1120, MATH 1215, MATH 1231, MATH 1241, or MATH 1341; not open to students in the College of Computer and Information Science.

MATH 2250. Programming Skills for Mathematics. 2 Hours.

Introduces basic programming skills for applied mathematics. Also serves as preparation for co-op assignments. Topics include Excel macros, MATLAB programming, and the R statistical package. Every mathematics major or student in a mathematics combined major is required to take this course or an equivalent course in another department. Prereq. Not open to students in the College of Computer and Information Science.

MATH 2280. Statistics and Software. 4 Hours.

Provides an introduction to basic statistical techniques and the reasoning behind each statistical procedures. Covers appropriate statistical data analysis methods for applications in health and social sciences. Also examines a statistical package such as SPSS or SAS to implement the data analysis on computer. Topics include descriptive statistics, elementary probability theory, parameter estimation, confidence intervals, hypothesis testing, nonparametric inference, and analysis of variance and regression with a minimum of mathematical derivations. Prereq. Nonmathematics majors only; not open to students in the College of Computer and Information Science.

MATH 2285. Introduction to Multisample Statistics. 4 Hours.

Provides an introduction to statistical techniques, including multisample statistics and regression. Offers an opportunity to learn to choose appropriate statistical data analysis methods for applications in various scientific fields and to learn to use a statistical package to implement the data analysis. Topics include descriptive statistics, elementary probability theory, parameter estimation, confidence intervals, hypothesis testing, analysis of variance, and regression. May also include optimal design. Prereq. MATH 1120, MATH 1215, MATH 1231, MATH 1241, or MATH 1341; not open to students who have completed MATH 2280; not open to students in the College of Computer and Information Science.

MATH 2310. Discrete Mathematics. 4 Hours.

Provides the discrete portion of the mathematical background needed by students in electrical and computer engineering. Topics include Boolean algebra and set theory, logic, and logic gates; growth of functions, and algorithms and their complexity; proofs and mathematical induction; and graphs, trees, and their algorithms. As time permits, additional topics may include methods of enumeration and finite-state machines.

MATH 2321. Calculus 3 for Science and Engineering. 4 Hours.

Extends the techniques of calculus to functions of several variables; introduces vector fields and vector calculus in two and three dimensions. Topics include lines and planes, 3D graphing, partial derivatives, the gradient, tangent planes and local linearization, optimization, multiple integrals, line and surface integrals, the divergence theorem, and theorems of Green and Stokes with applications to science and engineering and several computer lab projects. Prereq. MATH 1342 or MATH 1252.

MATH 2322. Recitation for MATH 2321. 0 Hours.

Provides small-group discussion format to cover material in MATH 2321.

MATH 2323. Calculus 3 for Business, Economics, and Mathematics. 4 Hours.

Covers multivariable calculus with applications from economics and business. Designed for combined majors in business and mathematics and in economics and mathematics, but open to all who have taken first-year calculus. Topics include Gaussian elimination, matrix algebra, determinants, linear independence, calculus of several variables, chain rule, implicit differentiation, optimization, Lagrange multipliers, and integration of functions of several variables with applications to probability. Prereq. MATH 1342.

MATH 2331. Linear Algebra. 4 Hours.

Uses the Gauss-Jordan elimination algorithm to analyze and find bases for subspaces such as the image and kernel of a linear transformation. Covers the geometry of linear transformations: orthogonality, the Gram-Schmidt process, rotation matrices, and least squares fit. Examines diagonalization and similarity, and the spectral theorem and the singular value decomposition. Is primarily for math and science majors; applications are drawn from many technical fields. Computation is aided by the use of software such as Maple or MATLAB, and graphing calculators. Prereq. MATH 1242, MATH 1252, MATH 1342, or CS 2800.

MATH 2341. Differential Equations and Linear Algebra for Engineering. 4 Hours.

Studies ordinary differential equations, their applications, and techniques for solving them including numerical methods (through computer labs using MS Excel and MATLAB), Laplace transforms, and linear algebra. Topics include linear and nonlinear first- and second-order equations and applications include electrical and mechanical systems, forced oscillation, and resonance. Topics from linear algebra, such as matrices, row-reduction, vector spaces, and eigenvalues/eigenvectors, are developed and applied to systems of differential equations. Prereq. MATH 1342.

MATH 2342. Recitation for MATH 2341. 0 Hours.

Provides small-group discussion format to cover material in MATH 2341.

MATH 2990. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 3000. Co-op and Experiential Learning Reflection Seminar 1. 1 Hour.

Intended for math majors who have completed their first co-op assignment or other integrated experiential learning component of the NU Core. The goal is to examine the mathematical problems encountered in these experiences and relate them to courses already taken and to the student’s future program. Faculty members and other guests contribute to the discussion. Grades are determined by the student’s participation in the course and the completion of a final paper. Prereq. Mathematics majors and computer science/mathematics combined majors only.

MATH 3081. Probability and Statistics. 4 Hours.

Focuses on probability theory. Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem. Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing. Prereq. MATH 1242, MATH 1252, or MATH 1342.

MATH 3090. Exploration of Modern Mathematics. 4 Hours.

Offers students a research-minded, elementary, and intuitive introduction to the interplay between algebra, geometry, analysis, and topology using an interactive and experimental approach. Prereq. MATH 1242, MATH 1252, or MATH 1342; intended for math majors, math combined majors, and students pursuing a math minor; all others should obtain permission of instructor.

MATH 3150. Real Analysis. 4 Hours.

Provides the theoretical underpinnings of calculus and the advanced study of functions. Emphasis is on precise definitions and rigorous proof. Topics include the real numbers and completeness, continuity and differentiability, the Riemann integral, the fundamental theorem of calculus, inverse function and implicit function theorems, and limits and convergence. Required of all mathematics majors. Prereq. (a) MATH 2321 and (b) MATH 2331 and (c) ENGW 1111, ENGW 1102, ENGL 1111, or ENGL 1102 and (d) junior or senior standing.

MATH 3175. Group Theory. 4 Hours.

Presents basic concepts and techniques of the group theory: symmetry groups, axiomatic definition of groups, important classes of groups (abelian groups, cyclic groups, additive and multiplicative groups of residues, and permutation groups), Cayley table, subgroups, group homomorphism, cosets, the Lagrange theorem, normal subgroups, quotient groups, and direct products. Studies structural properties of groups. Possible applications include geometry, number theory, crystallography, physics, and combinatorics. Prereq. MATH 2321 and MATH 2331.

MATH 3331. Elementary Differential Geometry. 4 Hours.

Studies differential geometry, focusing on curves and surfaces in 3D space. The material presented here can serve as preparation for a more advanced course in Riemannian geometry or differential topology. Prereq. MATH 2321 and MATH 2331.

MATH 3341. Dynamical Systems. 4 Hours.

Studies dynamical systems and their applications as they arise from differential equations. Solutions are obtained and analyzed as parameterized curves in the plane and used as a means of understanding the evolution of physical processes. Applications include conservative systems, predator-prey interactions, and cooperation and competition of species. Prereq. MATH 2341.

MATH 3527. Number Theory. 4 Hours.

Introduces number theory. Topics include linear diophantine equations, congruences, design of magic squares, Fermat’s little theorem, Euler’s formula, Euler’s phi function, computing powers and roots in modular arithmetic, the RSA encryption system, primitive roots and indices, and the law of quadratic reciprocity. As time permits, may cover diophantine approximation and Pell’s equation, elliptic curves, points on elliptic curves, and Fermat’s last theorem. Prereq. MATH 1242, MATH 1252, or MATH 1342.

MATH 3530. Numerical Analysis. 4 Hours.

Considers various problems including roots of nonlinear equations; simultaneous linear equations: direct and iterative methods of solution; eigenvalue problems; interpolation; and curve fitting. Emphasizes understanding issues rather than proving theorems or coming up with numerical recipes. Prereq. MATH 2331 or MATH 2341.

MATH 3532. Numerical Solutions of Differential Equations. 4 Hours.

Covers numerical problems in interpolation, differentiation, integration, Fourier transforms, and the solving of differential equations. Emphasizes practical methods and techniques. The heart of the course is a study of modern methods for finding numerical solutions of ordinary differential equations, both initial value problems and boundary value problems. Homework and projects are based on MATLAB. Prereq. (a) MATH 2331 and (b) MATH 2341 or MATH 2351.

MATH 3533. Combinatorial Mathematics. 4 Hours.

Introduces techniques of mathematical proofs including mathematical induction. Explores various techniques for counting such as permutation and combinations, inclusion-exclusion principle, recurrence relations, generating functions, Polya enumeration, and the mathematical formulations necessary for these techniques including elementary group theory and equivalence relations. Prereq. MATH 1242, MATH 1252, or MATH 1342.

MATH 3541. Chaotic Dynamical Systems. 4 Hours.

Presents an experimental study using simple mathematical models of chaotic behavior in dynamical systems. (Such systems are frequently found in science and industry.) Goals include the development of skills of experiment and inquiry, integration of visual and analytical modes of thought, and appreciation of issues of problem formulation and representation. Prereq. MATH 1342 and two semesters of calculus.

MATH 3560. Geometry. 4 Hours.

Studies classical geometry and symmetry groups of geometric figures, with an emphasis on Euclidean geometry. Teaches how to formulate mathematical propositions precisely and how to construct and understand mathematical proofs. Provides a line between classical and modern geometry with the aim of preparing students for further study in group theory and differential geometry. Prereq. MATH 2331 or MATH 2341.

MATH 3990. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 4000. Co-op and Experiential Learning Reflection Seminar 2. 1 Hour.

Intended for math majors who have completed their second co-op assignment or other integrated experiential learning component of the NU Core. The goal is to examine the mathematical problems encountered in these experiences and relate them to courses already taken and to the student’s future program. Faculty members and other guests contribute to the discussion. Grades are determined by the student’s participation in the course and the completion of a final paper. Prereq. Mathematics majors and computer science/mathematics combined majors only.

MATH 4020. Research Capstone. 4 Hours.

Offers students the experience of engaging in mathematical research that builds upon the math courses that they have taken and, possibly, their co-op assignments. Requires students to complete a research project of their own choosing. Focus is on the project and on the students presenting their work. Also requires students to write a reflection paper. Intended for juniors or seniors with experience or interest in mathematics research. Prereq. (a) MATH 3150 or permission of instructor and (b) MATH 3175 or permission of instructor and (c) junior or senior standing.

MATH 4025. Applied Mathematics Capstone. 4 Hours.

Emphasizes the use of a variety of methods—such as optimization, differential equations, probability, and statistics—to study problems that arise in epidemiology, finance, and other real-world settings. Course work includes assigned exercises, a long-term modeling project on a topic of the student’s choosing, and a reflection paper. Prereq. MATH 3081 and junior or senior standing.

MATH 4525. Applied Analysis. 4 Hours.

Demonstrates the applications of mathematics to interesting physical and biological problems. Methods are chosen from ordinary and partial differential equations, calculus of variations, Laplace transform, perturbation theory, special functions, dimensional analysis, asymptotic analysis, and other techniques of applied mathematics. Prereq. (a) MATH 2321 and (b) MATH 2331 and (c) MATH 2341 or MATH 2351.

MATH 4535. Mathematical Topics in Computer Vision. 4 Hours.

Studies topics in computer vision and the mathematical approaches to them. These include but are not limited to detection of object boundaries in images, nonlinear diffusion, optimization, and curve evolution. Students are required to be able to program algorithms that the course develops. Prereq. MATH 2321 and programming experience with MATLAB or an equivalent computer algebra system; familiarity with matrices and their properties is helpful.

MATH 4541. Advanced Calculus. 4 Hours.

Offers a deeper and more generalized look at the ideas and objects of study of calculus. Topics include the generalized calculus of n-space, the inverse and implicit function theorems, differential forms and general Stokes-type theorems, geometry of curves and surfaces, and special functions. Prereq. MATH 2321, MATH 2331, and MATH 3150.

MATH 4545. Fourier Series and PDEs. 4 Hours.

Provides a first course in Fourier series, Sturm-Liouville boundary value problems, and their application to solving the fundamental partial differential equations of mathematical physics: the heat equation, the wave equation, and Laplace’s equation. Green’s functions are also introduced as a means of obtaining closed-form solutions. Prereq. MATH 2351 or MATH 2341.

MATH 4555. Complex Variables. 4 Hours.

Provides an introduction to the analysis of functions of a complex variable. Starting with the algebra and geometry of complex numbers, basic derivative and contour integral properties are developed for elementary algebraic and transcendental functions as well as for other analytic functions and functions with isolated singularities. Power and Laurent series representations are given. Classical integral theorems, residue theory, and conformal mapping properties are studied. Applications of harmonic functions are presented as time permits. Prereq. MATH 2321.

MATH 4565. Topology. 4 Hours.

Introduces the student to fundamental notions of topology. Introduces basic set theory, then covers the foundations of general topology (axioms for a topological space, continuous functions, homeomorphisms, metric spaces, the subspace, product and quotient topologies, connectedness, compactness, and the Hausdorff condition). Also introduces algebraic and geometric topology (homotopy, covering spaces, fundamental groups, graphs, surfaces, and manifolds) and applications. Other topics are covered if time permits. Prereq. MATH 3150.

MATH 4571. Advanced Linear Algebra. 4 Hours.

Provides a more detailed study of linear transformations and matrices: LU factorization, QR factorization, Spectral theorem and singular value decomposition, Jordan form, positive definite matrices, quadratic forms, partitioned matrices, and norms and numerical issues. Topics and emphasis change from year to year. Prereq. MATH 2331.

MATH 4575. Introduction to Cryptography. 4 Hours.

Presents the mathematical foundations of cryptology, beginning with the study of divisibility of integers, the Euclidian Algorithm, and an analysis of the Extended Euclidian Algorithm. Includes a short study of groups, semigroups, residue class rings, fields, Fermat’s Little Theorem, Chinese Remainder Theorem, polynomials over fields, and the multiplicative group of residues modulo a prime number. Introduces fundamental notions used to describe encryption schemes together with examples, which include affine linear ciphers and cryptanalysis and continues with probability and perfect secrecy. Presents the Data Encryption Standard (DES) and culminates in the study of the Advanced Encryption Standard (AES), the standard encryption scheme in the United States since 2001.

MATH 4576. Rings and Fields. 4 Hours.

Introduces commutative rings, ideals, integral domains, fields, and the theory of extension fields. Topics include Gaussian integers, Galois groups, and the fundamental theorem of Galois theory. Applications include the impossibility of angle-trisection and the general insolvability of fifth- and higher-degree polynomials. Other topics are covered as time permits. Prereq. MATH 3175.

MATH 4581. Statistics and Stochastic Processes. 4 Hours.

Continues topics introduced in MATH 3081. The first part of the course covers classical procedures of statistics including the t-test, linear regression, and the chi-square test. The second part provides an introduction to stochastic processes with emphasis on Markov chains, random walks, and Brownian motion, with applications to modeling and finance. Prereq. MATH 3081.

MATH 4606. Mathematical and Computational Methods for Physics. 4 Hours.

Covers advanced mathematical methods topics that are commonly used in the physical sciences, such as complex calculus, Fourier transforms, special functions, and the principles of variational calculus. Applies these methods to computational simulation and modeling exercises. Introduces basic computational techniques and numerical analysis, such as Newton’s method, Monte Carlo integration, gradient descent, and least squares regression. Uses a simple programming language, such as MATLAB, for the exercises. Prereq. (a) PHYS 2303 and (b) MATH 2321 and (c) MATH 2341 or MATH 2351.

MATH 4681. Probability and Risks. 4 Hours.

Reviews main probability and statistics concepts from the point of view of decision risks in actuarial and biomedical contexts, including applications of normal approximation for evaluating statistical risks. Also examines new topics, such as distribution of extreme values and nonparametric statistics with examples. May be especially useful for students preparing for the first actuarial exam on probability and statistics. Prereq. MATH 3081.

MATH 4682. Theory of Interest and Basics of Life Insurance. 4 Hours.

Reviews basic financial instruments in the presence of interest rates, including the measurement of interest and problems in interest (equations of value, basic and more general annuities, yield rates, amortization schedules, bonds and other securities). Examines numerous practical applications. Also introduces problems of life insurance with examples. May be especially useful for students preparing for the second actuarial exam on theory of interest. Prereq. MATH 3081.

MATH 4683. Financial Derivatives. 4 Hours.

Presents the mathematical basis of actuarial models and their application to insurance and other financial risks. Includes but is not limited to financial derivatives such as options and futures. Techniques and applications may be useful for students preparing for actuarial Exam 3F (Society of Actuaries Exam MFE). Prereq. MATH 4681 and MATH 4682.

MATH 4970. Junior/Senior Honors Project 1. 4 Hours.

Focuses on in-depth project in which a student conducts research or produces a product related to the student’s major field. Combined with Junior/Senior Project 2 or college-defined equivalent for 8-credit honors project. Prereq. MATH 3081.

MATH 4971. Junior/Senior Honors Project 2. 4 Hours.

Focuses on second semester of in-depth project in which a student conducts research or produces a product related to the student’s major field. Prereq. MATH 4970.

MATH 4990. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 4991. Research. 4 Hours.

Offers an opportunity to conduct research under faculty supervision.

MATH 4992. Directed Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor.

MATH 4993. Independent Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor.

MATH 4994. Internship. 4 Hours.

Offers students an opportunity for internship work.

MATH 4996. Experiential Education Directed Study. 4 Hours.

Draws upon the student’s approved experiential activity and integrates it with study in the academic major. Restricted to those junior and senior mathematics majors who are using it to fulfill their experiential education requirement; for these students it may count as a mathematics elective, subject to approval by instructor and adviser. Prereq. Junior or senior standing; mathematics majors only.

MATH 5050. Advanced Engineering Calculus with Applications. 4 Hours.

Introduces methods of vector analysis. Expects students to master over thirty predefined types of problems. Topics include analytic geometry in three dimensions, geometric vectors and vector algebra, curves in three-space, linear approximations, the gradient, the chain rule, the Lagrange multiplier, iterated integrals, integrals in curvilinear coordinates, change of variables, vector fields, line integrals, conservative fields, surfaces and surface integrals, the flux and the circulation of a vector field, Green’s theorem, the divergence theorem, and Stokes’ theorem. Illustrates the material by real-world science and engineering applications using the above techniques. Prereq. Familiarity with single-variable calculus.

MATH 5101. Analysis 1: Functions of One Variable. 4 Hours.

Offers a rigorous, proof-based introduction to mathematical analysis and its applications. Topics include metric spaces, convergence, compactness, and connectedness; continuous and uniformly continuous functions; derivatives, the mean value theorem, and Taylor series; Riemann integration and the fundamental theorem of calculus; interchanging limit operations; sequences of functions and uniform convergence; Arzelà-Ascoli and Stone-Weierstrass theorems; inverse and implicit function theorems; successive approximations and existence/uniqueness for ordinary differential equations; linear operators on finite-dimensional vector spaces and applications to systems of ordinary differential equations. Provides a series of computer projects that further develop the connections between theory and applications. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5102. Analysis 2: Functions of Several Variables. 4 Hours.

Continues MATH 5101. Studies basics of analysis in several variables. Topics include derivative and partial derivatives; the contraction principle; the inverse function and implicit function theorems; derivatives of higher order; Taylor formula in several variables; differentiation of integrals depending on parameters; integration of functions of several variables; change of variables in integrals; differential forms and their integration over simplexes and chains; external multiplication of forms; differential of forms; Stokes’ formula; set functions; Lebesgue measure; measure spaces; measurable functions; integration; comparison with the Riemann integral; L2 as a Hilbert space; and Parseval theorem and Riesz-Fischer theorem. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5104. Basics and Probability and Statistics. 4 Hours.

Introduces the ideas and the reasoning used in both finite and infinite probabilistic settings. Covers the concepts of sample space, event, and axioms. Studies discrete and continuous probability distributions for one or more random variables, conditional probability, Bayes’s law, independence, and expectation and variance. Explores the use of moments, and the binomial, Poisson, and normal distributions. Examines the law of large numbers, the central limit theorem, and the use of probability in statistical inference including estimation of parameters, confidence interveral, and hypotheses testing. Requires a substantial project that connects the material in this course to the secondary school classroom. Prereq. MATH 5101; graduate standing or permission of instructor and head advisor.

MATH 5105. Basics of Statistics and Stochastic Processes. 3 Hours.

Focuses on the classical procedures of statistics including the t-test, linear regression, and the chi-square test. Introduces stochastic processes, with an emphasis on Markov chains, random walks, and Brownian motion, with applications to modeling. Requires a substantial project that connects the material in this course to the secondary school classroom. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5106. Basics of Complex Analysis. 3 Hours.

Introduces the analysis of functions of a complex variable. Starting with the algebra and geometry of complex numbers, basic derivative and contour integral properties are developed for elementary algebraic and transcendental functions, as well as for other analytic functions with isolated singularities. Gives Power and Laurent series representations. Studies classical integral theorems, residue theory, and conformal mapping properties. Presents applications of harmonic functions as time permits. Requires a substantial project that involves an application of ideas covered in the course. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5107. Basics of Number Theory. 3 Hours.

Introduces number theory. Topics include linear diophantine equations, congruencies, design of magic squares, Fermat’s little theorem, Euler’s formulas, Euler’s phi function, computing powers and roots in modular arithmetic, the RSA encryption scheme, primitive roots and indices, and the law of quadratic reciprocity. As time permits, additional topics may include diophantine approximation and Pell’s equation, elliptic curves, points on elliptic curves modulo, and elliptic curves and Fermat’s last theorem. Requires a substantial project that connects the material in this course to the secondary school classroom. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5108. Methods for Teaching Math. 3 Hours.

Explores mathematics teaching methods that are research based, experience based, and grounded in the contemporary theoretical frameworks influencing mathematics education. Emphasis is on issues related to teaching math in an urban school, problem solving, communication, connections, and integrating technology as well as issues of access and equity, assessment, and cross-content teaching strategies. Graduate students are required to demonstrate advanced levels of study and research. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5111. Algebra 1. 4 Hours.

Covers vector spaces and linear maps. Topics include row and column operations and their application to normal form; eigenvalues and eigenvectors of an endomorphism; characteristic polynomial and Jordan canonical form; multilinear algebra that covers tensor products, symmetric and exterior powers of vector spaces, and their universality properties; quadratic forms, reduction to diagonal form, and Sylvester theorem; hyperbolic spaces and Witt theorem; the orthogonal group and isotropic subspaces; antisymmetric forms and their reduction to canonical form; the symplectic group; and Pfaffian and Affine geometry, and classification of conic sections. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5112. Algebra 2. 4 Hours.

Continues MATH 5111. Topics include groups, such as subgroups, normal subgroups, homomorphism of groups, abelian groups, solvable groups, free groups, finite p-groups, Sylov theorem, permutation groups, and the sign homomorphism; rings, such as homomorphism, ideals, quotient rings, integral domains, extensions of rings, unique factorization domain, Chinese remainder theorem, and Gauss’s lemma; and modules, such as homomorphism, submodules, quotient modules, exact sequence, and structure of finitely generated modules over principal ideal domains. Examples include abelian groups and Jordan canonical form. Also covers representations of finite groups, group rings and irreducible representations, Frobenius reciprocity, Maschke theorem and characters of finite groups, and dual groups. Prereq. Graduate standing or permission of instructor and head advisor.

MATH 5121. Topology 1. 4 Hours.

Provides an introduction to topology, starting with the basics of point set topology (topological space, continuous maps, homeomorphisms, compactness and connectedness, and identification spaces). Moves on to the basic notions of algebraic and combinatorial topology, such as homotopy equivalences, fundamental group, Seifert-VanKampen theorem, simplicial complexes, classification of surfaces, and covering space theory. Ends with a brief introduction to simplicial homology and knot theory. Prereq. MATH 5111; graduate standing or permission of instructor and head advisor.

MATH 5122. Geometry 1. 4 Hours.

Covers differentiable manifolds, such as tangent bundles, tensor bundles, vector fields, Frobenius integrability theorem, differential forms, Stokes’ theorem, and de Rham cohomology; and curves and surfaces, such as elementary theory of curves and surfaces in R3, fundamental theorem of surfaces in R3, surfaces with constant Gauss or mean curvature, and Gauss-Bonnet theorem for surfaces. Prereq. MATH 5101, MATH 5111, and graduate standing or permission of instructor and head advisor.

MATH 5131. Introduction to Mathematical Methods and Modeling. 4 Hours.

Presents mathematical methods emphasizing applications. Uses ordinary and partial differential equations to model the evolution of real-world processes. Topics chosen illustrate the power and versatility of mathematical methods in a variety of applied fields and include population dynamics, drug assimilation, epidemics, spread of pollutants in environmental systems, competing and cooperating species, and heat conduction. Requires students to complete a math-modeling project. Prereq. Undergraduate-level course work in ordinary and partial differential equations.

MATH 5976. Directed Study. 1-4 Hours.

Offers independent work under the direction of members of the department on chosen topics. Prereq. Graduate standing or permission of instructor or head advisor.

MATH 5978. Independent Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor. Prereq. Graduate standing or permission of instructor or head advisor.

MATH 5984. Research. 1-4 Hours.

Offers an opportunity to conduct research under faculty supervision. Prereq. Graduate standing or permission of head advisor.

MATH 6000. Introduction to Cooperative Education. 0 Hours.

Seeks to prepare students for the transition from college student to full-time employee.

MATH 6960. Exam Preparation—Master’s. 0 Hours.

Offers the student the opportunity to prepare for the master’s qualifying exam under faculty supervision.

MATH 6961. Internship. 1-4 Hours.

Offers students an opportunity for internship work.

MATH 6962. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 6964. Co-op Work Experience. 0 Hours.

Provides eligible students with an opportunity for work experience.

MATH 6966. Practicum. 1-4 Hours.

Provides eligible students with an opportunity for practical experience.

MATH 7000. Qualifying Exam. 0 Hours.

Provides eligible students with an opportunity to take the master’s qualifying exam.

MATH 7201. Ordinary Differential Equations. 4 Hours.

Covers the basics of ordinary differential equations including analytical, qualitative, and geometric methods. Topics include geometric interpretation of ordinary differential equations, such as direction fields, vector fields, and phase space; flow defined by a vector field; integral curves and phase curves; integrals of motion and their use in investigating properties of the flows; conservative systems with one degree of freedom and their phase portraits; linear systems and their properties; Wronskian exponents of matrices and their calculation; classification of singular points of first-order linear systems with constant coefficients in the plane; existence and uniqueness of solutions for ordinary differential equations and systems; notion of stability; investigating stability by linearization; Lyapunov functions in determining stability; second-order linear equations including Sturm theory for zeros of solutions; and asymptotics of solutions of second-order linear equations. Prereq. MATH 5102 and MATH 5111.

MATH 7202. Partial Differential Equations 1. 4 Hours.

Introduces partial differential equations, their theoretical foundations, and their applications, which include optics, propagation of waves (light, sound, and water), electric field theory, and diffusion. Topics include first-order equations by the method of characteristics; linear, quasilinear, and nonlinear equations; applications to traffic flow and geometrical optics; principles for higher-order equations; power series and Cauchy-Kowalevski theorem; classification of second-order equations; linear equations and generalized solutions; wave equations in various space dimensions; domain of dependence and range of influence; Huygens’ principle; conservation of energy, dispersion, and dissipation; Laplace’s equation; mean values and the maximum principle; the fundamental solution, Green’s functions, and Poisson kernels; applications to physics; properties of harmonic functions; the heat equation; eigenfunction expansions; the maximum principle; Fourier transform and the Gaussian kernel; regularity of solutions; scale invariance and the similarity method; Sobolev spaces; and elliptic regularity.

MATH 7203. Numerical Analysis 1. 4 Hours.

Introduces methods and techniques used in contemporary number crunching. Covers floating-point computations involving scalars, vectors, and matrices; solvers for sparse and dense linear systems; matrix decompositions; integration of functions and solutions of ordinary differential equations (ODEs); and Fast Fourier transform. Focuses on finding solutions to practical, real-world problems. Prereq. Knowledge of programming in Matlab is assumed. Knowledge of other programming languages would be good but not required.

MATH 7204. Complex Analysis. 4 Hours.

Introduces complex analysis in one complex variable. Topics include holomorphic functions of one complex variable and their basic properties; geometrical and hydrodynamical interpretations of holomorphic functions; hyperbolic plane and its group of automorphisms; Cauchy-Riemann equations; Cauchy integral formula; Taylor series of holomorphic functions; Weierstrass and Runge theorems; Laurent series and classification of singular points of holomorphic functions; meromorphic functions; residues and their applications to the calculation of integrals; analytic continuation and Riemann surfaces; maximum principle and Schwarz lemma; the Riemann mapping theorem; elements of the theory of elliptic functions; entire functions, their growth, and distribution of zeros; asymptotic expansions; and Laplace method and saddle point method for finding asymptotics of integrals. Prereq. MATH 5102 and MATH 5111.

MATH 7205. Numerical Analysis 2. 4 Hours.

Covers advanced numerical methods, focusing on illustrating solutions to practical, real-world problems. Topics include principal component analysis and applications; types of partial differential equations (PDEs) and their numerical solution using finite-difference and finite-element methods; stability of PDE algorithms; expansion of functions using orthogonal functions and wavelets; parallel computing algorithms (scans, reductions, parallel prefix, and map-reduce); types and concepts in parallelism (Flynn’s taxonomy and data-parallel vs. task-parallel computing); parallel computing frameworks (MPI, OpenMP, and Hadoop); optimization of smooth functions (Newton and quasi-Newton methods); constrained optimization; linear and quadratic programming; pattern recognition and classification using machine learning algorithms; cryptography; and compression of data. Prereq. Programming experience with Matlab; experience with other programming languages (such as C or C++) helpful but not required.

MATH 7209. Numerical Analysis Workshop. 0 Hours.

Introduces students to mathematical methods of data analysis, including techniques for image analysis (filters, edge detection); Fourier analysis (discrete Fourier transform, high/low-pass filters); and numerical simulation of partial differential equations. Offers students an opportunity to gain hands-on experience through use of software packages and through teamwork on projects.

MATH 7213. Algebra 3: Galois Theory. 4 Hours.

Continues MATH 5112. Studies finite extensions of fields, automorphisms, structure of finite fields, normal and separable extensions, Galois group, fundamental theorem of Galois theory, cyclotomic fields, solvability of equations by radicals, and applications (for example, coding theory). Also includes Dedekind rings, integral closure of a Dedekind ring in a field extension, and ramification theory. Prereq. MATH 5112.

MATH 7221. Topology 2. 4 Hours.

Continues MATH 5121. Introduces homology and cohomology theory. Studies singular homology, homological algebra (exact sequences, axioms), Mayer-Vietoris sequence, CW-complexes and cellular homology, calculation of homology of cellular spaces, and homology with coefficients. Moves on to cohomology theory, universal coefficients theorems, Bockstein homomorphism, Knnneth formula, cup and cap products, Hopf invariant, Borsuk-Ulam theorem, and Brouwer and Lefschetz-Hopf fixed-point theorems. Ends with a study of duality in manifolds including orientation bundle, Poincaré duality, Lefschetz duality, Alexander duality, Euler class, Lefschetz numbers, Gysin sequence, intersection form, and signature.

MATH 7222. Geometry 2. 4 Hours.

Continues MATH 5122. Covers Riemannian metrics, such as geodesics, Levi-Civita connections, Riemann curvature tensor, covariant derivatives of tensor fields, hypersurfaces in Rn, completeness, Jacobi field theory, manifolds with constant curvatures, and manifolds with nonpositive curvature. Introduces Lie groups and Lie algebras. Prereq. MATH 5122.

MATH 7232. Combinatorial Analysis. 4 Hours.

Discusses some basic combinatorial concepts, with emphasis on enumerative combinatorics. Topics may include inclusion-exclusion principle, binomial and multinomial coefficients, linear recurrences, ordinary and exponential generating functions, Stirling numbers, integer partitions, permutation groups and Polya’s theorem, Ramsey theorems, Marriage theorem, graphs and colorability, trees, Steiner systems, posets and polyhedra, and other topics at instructor’s discretion. Prereq. MATH 5101 and MATH 5111.

MATH 7233. Graph Theory. 4 Hours.

Covers fundamental concepts in graph theory. Topics include adjacency and incidence matrices, paths and connectedness, and vertex degrees and counting; trees and distance including properties of trees, distance in graphs, spanning trees, minimum spanning trees, and shortest paths; matchings and factors including matchings in bipartite graphs, Hall’s matching condition, and min-max theorems; connectivity, such as vertex connectivity, edge connectivity, k-connected graphs, and Menger’s theorem; network flows including maximum network flow, and integral flows; vertex colorings, such as upper bounds, Brooks, theorem, graphs with large chromatic number, and critical graphs; Eulerian circuits and Hamiltonian cycles including Euler’s theorem, necessary conditions for Hamiltonian cycles, and sufficient conditions; planar graphs including embeddings and Euler’s formula, characterization of planar graphs (Kuratowski’s theorem); and Ramsey theory including Ramsey’s theorem, Ramsey numbers, and graph Ramsey theory.

MATH 7234. Optimization and Complexity. 4 Hours.

Offers theory and methods of maximizing and minimizing solutions to various types of problems. Studies combinatorial problems including mixed integer programming problems (MIP); pure integer programming problems (IP); Boolean programming problems; and linear programming problems (LP). Topics include convex subsets and polyhedral subsets of n-space; relationship between an LP problem and its dual LP problem, and the duality theorem; simplex algorithm, and Kuhn-Tucker conditions for optimality for nonlinear functions; and network problems, such as minimum cost and maximum flow-minimum cut. Also may cover complexity of algorithms; problem classes P (problems with polynomial-time algorithms) and NP (problems with nondeterministic polynomial-time algorithms); Turing machines; and NP-completeness of traveling salesman problem and other well-known problems.

MATH 7235. Discrete Geometry 1. 4 Hours.

Discusses basic concepts in discrete and combinatorial geometry. Topics may include convex sets and their basic properties; theorems of Helly, Radon, and Carathéodory; separation theorems for convex bodies; convex polytopes; face vectors; Euler’s theorem and Dehn-Sommerville equations; upper bound theorem; symmetry groups; regular polytopes and tessellations; reflection groups and Coxeter groups; regular tessellations on surfaces; abstract regular and chiral polytopes; and other topics at instructor’s discretion.

MATH 7241. Probability 1. 4 Hours.

Offers an introductory course in probability theory, with an emphasis on problem solving and modeling. Starts with basic concepts of probability spaces and random variables, and moves on to the classification of Markov chains with applications. Other topics include the law of large numbers and the central limit theorem, with applications to the theory of random walks and Brownian motion.

MATH 7245. Statistics for Health Sciences. 4 Hours.

Designed as an introductory course in probability and statistics for students in health sciences. Includes descriptive and inferential statistics and discussion of various datas’ origin, say, “random sample” from some population. Requires an understanding of probability, including the concept of the probability of an event; axioms of probability; concepts of random variables and their expectation; probability distributions; theoretical results of probability, such as the central limit theorem and its use to approximate deviations of the sample mean. Shows, in the statistics segment, how to use data to estimate parameters of interest and test statistical hypotheses. Introduces regression, analysis of variance, and goodness-of-fit tests, which can be used to test whether a proposed model is consistent with data. Also describes some nonparametric hypothesis tests.

MATH 7260. History of Mathematics. 4 Hours.

Studies mathematics as a living, changing entity through different historical eras and across a wide range of cultures. Topics considered in-depth in their historical-social context include prime numbers, limits infinite series, the notion of algorithm, the concept of function, and engineering applications.

MATH 7301. Functional Analysis. 4 Hours.

Provides an introduction to essential results of functional analysis and some of its applications. The main abstract facts can be understood independently. Proof of some important basic theorems about Hilbert and Banach spaces (Hahn-Banach theorem, open mapping theorem) are omitted, in order to allow more time for applications of the abstract techniques, such as compact operators; Peter-Weyl theorem for compact groups; spectral theory; Gelfand’s theory of commutative C*-algebras; mean ergodic theorem; Fourier transforms and Sobolev embedding theorems; and distributions and elliptic operators. Prereq. MATH 5102 and MATH 5111.

MATH 7302. Partial Differential Equations 2. 4 Hours.

Continues MATH 7202. Comprises advanced topics in linear and nonlinear partial differential equations, with applications. Topics include pseudodifferential operators and regularity of solutions for elliptic equations; elements of microlocal analysis; propagation of singularities; elements of spectral theory of elliptic operators; properties of eigenvalues and eigenfunctions; variational principle for eigenvalues and its applications; the Schrödinger equation and its meaning in quantum mechanics; parabolic equations and their role in describing heat and diffusion processes; hyperbolic equations and propagation of waves; the Cauchy problem for hyperbolic equations and hyperbolic systems; elements of scattering theory; nonlinear elliptic equations in Riemannian geometry including the Yamabe problem, prescribed scalar curvature problem, and Einstein-Kähler metrics; the Navier-Stokes equations in hydrodynamics; simplest properties and open problem nonlinear hyperbolic equations and shock waves; the Korteweg-de Vries equation and its relation to inverse scattering problems; and solitons and algebra-geometric solutions.

MATH 7303. Complex Manifolds. 4 Hours.

Introduces complex manifolds. Discusses the elementary local theory in several variables including Cauchy’s integral formula, Hartog’s extension theorem, the Weierstrass preparation theorem, and Riemann’s extension theorem. The global theory includes the definition of complex manifolds, sheaf cohomology, line bundles and divisors, Kodaira’s vanishing theorem, Kodaira’s embedding theorem, and Chow’s theorem on complex subvarieties of projective space. Special examples of dimension one and two illustrate the general theory.

MATH 7311. Commutative Algebra. 4 Hours.

Introduces some of the main tools of commutative algebra, particularly those tools related to algebraic geometry. Topics include prime ideals, localization, and integral extensions; primary decomposition; Krull dimension; chain conditions, and Noetherian and Artinian modules; and additional topics from ring and module theory as time permits.

MATH 7312. Lie Theory. 4 Hours.

Examines Lie groups and Lie algebras, the exponential map, examples, basic structure theorems, representation theory, and applications. Additional topics vary with the instructor and may include infinite-dimensional Lie algebras, algebraic groups, finite groups of Lie type, geometry, and analysis of homogenous spaces. Prereq. MATH 5112.

MATH 7313. Representation Theory. 4 Hours.

Studies the representation theory of basic algebraic structures such as groups, associative algebras, Lie algebras, and quivers. Topics include general results on the classification of irreducible or indecomposable representations, computation of characters, and structure of derived categories. Examples considered may include symmetric groups, algebraic groups over different fields or Lie groups, semisimple Lie algebras or more general Kac-Moody algebras and their universal enveloping algebras, quantum groups or more general Hopf algebras, Dynkin quivers, and others. Prereq. MATH 5112.

MATH 7314. Algebraic Geometry 1. 4 Hours.

Concentrates on the techniques of algebraic geometry arising from commutative and homological algebra, beginning with a discussion of the basic results for general algebraic varieties, and developing the necessary commutative algebra as needed. Considers affine and projective varieties, morphisms of algebraic varieties, regular and singular points, and normality. Discusses algebraic curves, with a closer look at the relations between the geometry, algebra, and function theories. Examines the Riemann-Roch theorem with its many applications to the study of the geometry of curves. Studies the singularities of curves.

MATH 7315. Algebraic Number Theory. 4 Hours.

Covers rings of integers, Dedekind domains, factorization of ideals, ramification, and the decomposition and inertia subgroups; units in rings of integers, Minkowski’s geometry of numbers, and Dirichlet’s unit theorem; and class groups, zeta functions, and density sets of primes. Prereq. MATH 7213.

MATH 7316. Lie Algebras. 4 Hours.

Introduces notions of solvable and nilpotent Lie algebras. Covers semisimple Lie algebras: Killing form criterion, Cartan decomposition. root systems, Weyl groups, Dynkin diagrams, weights. Also dicusses universal enveloping algebra, PBW theorem, representations of semisimple Lie algebras, weight spaces, highest weight modules, multiplicities, characters, Weyl character formula.

MATH 7317. Modern Representation Theory. 4 Hours.

Introduces students to modern techniques of representation theory, including those coming from geometry and mathematical physics. Covers applications of geometry to the representation theory of semisimple Lie algebras, algebraic groups and related algebraic objects, questions related to the representation theory of infinite dimensional Lie algebras, quantum groups, and p-adic groups, as well as category theory methods in representation theory.

MATH 7321. Topology 3. 4 Hours.

Continues MATH 7221. Introduces homotopy theory. Topics include higher homotopy groups, cofibrations, fibrations, homotopy sequences, homotopy groups of Lie groups and homogeneous spaces, Hurewicz theorem, Whitehead theorem, Eilenberg-MacLane spaces, obstruction theory, Postnikov towers, and spectral sequences. Prereq. MATH 7221.

MATH 7322. Geometry 3. 4 Hours.

Continues MATH 7222. Covers principal bundles, vector bundles, connections on principal bundles and vector bundles, curvature, holonomy, Chern-Weil theory of characteristic classes, and the Gauss-Bonnet theorem. Prereq. MATH 7222.

MATH 7323. Differential Geometry 1. 4 Hours.

Studies geometry and topology of surfaces in R3, with emphasis on the global aspects. Topics include minimal surfaces, constant mean curvature surfaces, and the Gauss-Bonnet theorem. Prereq. MATH 7222.

MATH 7324. Differential Geometry 2. 4 Hours.

Continues MATH 7323. Covers principal bundles, vector bundles, connections on principal bundles and vector bundles, curvatures, holonomy, and the Chern-Weil theory of characteristic classes. Prereq. MATH 7323.

MATH 7331. Algebraic Combinatorics. 4 Hours.

Discusses relationships between algebra and combinatorics. Topics may include enumeration methods; combinatorial sequences of special interest; partially ordered sets and lattices, their incidence algebras, and Möbius functions; permutations statistics; Young tableaux and related combinatorial algorithms; matching theory with applications to assignment problems; graphs and their spectral properties; theory of partitions, and other topics at instructor’s discretion. Prereq. MATH 7232.

MATH 7335. Discrete Geometry 2. 4 Hours.

Discusses fundamental concepts in discrete and combinatorial geometry. Topics may include basic convex geometry; convex bodies and polytopes; lattices and quadratic forms; Minkowski’s theorem and the geometry of numbers; Blichfeldt’s theorem; packing, covering, tiling of spaces; Voronoi diagrams; crystallographic groups and Bieberbach theorems; tilings and aperiodicity; packing and covering densities; Minkowski-Hlawka theorem; sphere packings and codes; polytopes and groups; and other topics at instructor’s discretion.

MATH 7340. Statistics for Bioinformatics. 4 Hours.

Introduces the concepts of probability and statistics used in bioinformatics applications, particularly the analysis of microarray data. Uses statistical computation using the open-source R program. Topics include maximum likelihood; Monte Carlo simulations; false discovery rate adjustment; nonparametric methods, including bootstrap and permutation tests; correlation, regression, ANOVA, and generalized linear models; preprocessing of microarray data and gene filtering; visualization of multivariate data; and machine-learning techniques, such as clustering, principal components analysis, support vector machine, neural networks, and regression tree. Prereq. Bioinformatics majors only.

MATH 7341. Probability 2. 4 Hours.

Continues MATH 7241. Studies probability theory, with an emphasis on its use in modeling and queueing theory. Starts with basic properties of exponential random variables, and then applies this to the study of the Poisson process. Queueing theory forms the bulk of the course, with analysis of single-server queues, multiserver queues, and networks of queues. Also includes material on continuous-time Markov processes, renewal theory, and Brownian motion. Prereq. MATH 7241 or IE 6200.

MATH 7342. Mathematical Statistics. 4 Hours.

Introduces mathematical statistics, emphasizing theory of point estimations. Topics include parametric estimations, minimum variance unbiased estimators, sufficiency and completeness, and Rao-Blackwell theorem; asymptotic (large sample) theory, maximum likelihood estimator (MLE), consistency of MLE, asymptotic theory of MLE, and Cramer-Rao bound; and hypothesis testing, Neyman-Pearson fundamental lemma, and likelihood ratio test.

MATH 7343. Applied Statistics. 4 Hours.

Designed as a basic introductory course in statistical methods for graduate students in mathematics as well as various applied sciences. Topics include descriptive statistics, inference for population means, analysis of variance, nonparametric methods, and linear regression. Studies how to use the computer package SPSS, doing statistical analysis and interpreting computer outputs.

MATH 7344. Regression, ANOVA, and Design. 4 Hours.

Discusses one-sample and two-sample tests; one-way ANOVA; factorial and nested designs; Cochran’s theorem; linear and nonlinear regression analysis and corresponding experimental design; analysis of covariance; and simultaneous confidence intervals.

MATH 7345. Nonparametric Methods in Statistics. 4 Hours.

Presents methods for analyzing data that is not necessarily normal. Emphasizes comparing two treatments (the Wilcoxon test, Kolmogorov-Smirnov test), comparison of several treatments (the Kruskal-Wallas test), randomized complete blocks, tests of randomness and independence, asymptotic methods (the delta method, Pitman efficiency), and bootstrapping.

MATH 7346. Time Series. 4 Hours.

Includes analysis of time series in the time domain, the frequency domain and the ARMA models, and Kalman filters. Prereq. MATH 7342 or MATH 7343.

MATH 7347. Statistical Decision Theory. 4 Hours.

Covers statistics as a game, loss and utility, subjective probability, priors, Bayesian statistics, minimaxity, admissibility and complete classes, James-Stein estimators, and empirical Bayes. Prereq. MATH 7342 or MATH 7343.

MATH 7348. Categorical Data Analysis. 4 Hours.

Focuses on the analysis of data in tables, that is, with cross-classified data. Comprises loglinear models (a generalization of analysis of variance methods) and logistic regression. Includes homework problems involving real data and sometimes focusing on theoretical issues. Prereq. MATH 7342 or MATH 7343.

MATH 7349. Stochastic Calculus and Introduction to No-Arbitrage Finance. 4 Hours.

Introduces no-arbitrage discounted contingent claims and methods of their optimization in discrete and continuous time for a finite fixed or random horizon. Establishes the relation of no-arbitrage to the martingale calculus. Introduces stochastic differential equations and corresponding PDE describing functionals of their solutions. Presents examples of contingent claims (such as options) evaluation including the Black-Scholes formula. Prereq. MATH 7342 or MATH 7343.

MATH 7350. Pseudodifferential Equations. 4 Hours.

Covers Sobolev spaces and pseudodifferential operators on manifolds, applications to the theory of elliptic operators, elliptic regularity, Fredholm property, analytic index, and Hodge theory.

MATH 7351. Mathematical Methods of Classical Mechanics. 4 Hours.

Overviews the mathematical formulation of classical mechanics. Topics include Hamilton’s principle and Lagrange’s equations; solution of the two-body central force problem; rigid body rotation and Euler’s equations; the spinning top; Hamilton’s equations; the Poisson bracket; Liouville’s theorem; and canonical transformations.

MATH 7352. Mathematical Methods of Quantum Mechanics. 4 Hours.

Introduces the basics of quantum mechanics for mathematicians. Introduces the von Neumann’s axiomatics of quantum mechanics with measurements in the first part of the course. Discusses the notions of observables and states, as well as the connections between the quantum and the classical mechanics. The second (larger) part is dedicated to some concrete quantum mechanical problems, such as harmonic oscillator, one-dimensional problems of quantum mechanics, radial Schr÷dinger equation, and the hydrogen atom. The third part deals with more advanced topics, such as perturbation theory, scattering theory, and spin. Prereq. MATH 5102 and MATH 5111; knowledge of functional analysis and classical mechanics recommended.

MATH 7353. Atiyah-Singer Index Theory. 4 Hours.

Introduces the Atiyah-Singer index theorem, one of the most impressive achievements of mathematics of the twentieth century. Connects analysis, geometry, and topology, and has numerous applications in mathematical physics, such as a calculation of the dimensions of moduli spaces of instantons. Topics include elliptic operators in sections of vector bundles, their index, and heat-kernel invariants; the Atiyah-Bott formula and local expression for the index; Chern-Weil construction of characteristic classes; and invariants of representations of orthogonal and unitary groups with applications to the heat kernel invariants of Laplacians. Also covers index formulas for classical elliptic operators and elliptic complexes (Gauss-Bonnet theorem, Hirzebruch signature theorem, the Riemann-Roch-Hirzebruch theorem, and Lefschetz-type theorems). Studies elements of K-theory and index theorem for general elliptic operators. Prereq. Knowledge of pseudodifferential operators.

MATH 7354. Von Neumann Algebras and Applications. 4 Hours.

Introduces von Neumann algebras and their applications to analysis, geometry, and topology. Topics include algebras of operators in a Hilbert space; uniform, strong, and weak topology in the algebra of bounded linear operators in a Hilbert space; von Neumann algebras, traces, and von Neumann dimensions; ideals in von Neumann algebras; factors and their classification; von Neumann algebras and traces associated with actions of discrete groups on manifolds; trace class operators and Hilbert-Schmidt operators; tensor products of von Neumann algebras and traces; analytic expression of traces; elliptic operators; pseudodifferential operators and their Schwartz kernels; uniform Sobolev spaces; index theory in von Neumann algebras and Atiyah L2 index theorem on covering manifolds; von Neumann Betti numbers and Euler characteristics; heat kernel invariants and spectra-near-zero invariants, their interpretation as near-cohomology and homotopy invariance; Witten deformation and semiclassical asymptotics on covering manifolds with applications to L2 Morse inequalities; and L2 Riemann-Roch theorem for elliptic operators. Prereq. MATH 5122 and MATH 7301.

MATH 7355. Topics in Differential Equations. 4 Hours.

Offers various advanced topics in differential equations and dynamical systems. Intended to meet the needs and interests of students. Topics may include chaotic dynamical systems, delay equations, and dynamical systems on manifolds. Prereq. MATH 7221.

MATH 7356. Complex Analysis in Several Variables. 4 Hours.

Introduces complex analysis in several complex variables. Topics include integral formulas, domains of holomorphy, pseudoconvexity and plurisufarmonicity, L2 estimates, and stein manifolds and almost complex manifolds.

MATH 7357. Topics in Complex Analysis. 4 Hours.

Introduces complex analysis in one complex variable. Topics include holomorphic functions of one complex variable and their basic properties; geometrical and hydrodnamical interpretations of holomorphic functions; hyperbolic plane and its group of automorphisms; Cauchy-Riemann equations and Cauchy integral formula; Taylor series of holomorphic functions; Weierstrass and Runge theorems; Laurent series and classification of singular points of holomorphic functions; meromorphic functions; residues and their applications to the calculation of integrals; analytic continuation and Riemann surfaces; the maximum principle and Schwarz lemma; the Riemann mapping theorem; elements of the theory of elliptic functions; entire functions, their growth, and distribution of zeros; asymptotic expansions; and Laplace method and saddle point method for finding asymptotics of integrals.

MATH 7358. Potential Theory. 4 Hours.

Covers Laplace and Poisson equations in electrostatics, calculation of simplest potentials with applications, properties of classical potentials, capacity, equilibrium distribution of charges and its properties, and singularities of bounded harmonic functions. Also discusses the Dirichlet problem for the Laplace equation: classical methods of solving amd Wiener solvability criterion, as well as applications of capacity in spectral theory of Schrodinger operators.

MATH 7361. Schemes. 4 Hours.

Studies some of the main tools and key objects of algebraic geometry; in particular, the Hilbert scheme that parametrizes subschemes of a projective variety. Topics include coherence of the higher direct images of coherent sheaves under a projective map, theorem on formal functions, Zariski’s main theorem and Zariski’s connectedness theorem, and the construction of the Hilbert and Picard schemes. Prereq. MATH 7314.

MATH 7362. Topics in Algebra. 4 Hours.

Focuses on various advanced topics in algebra, the specific subject matter depending on the interests of the instructor and of the students. Topics may include homological algebra, commutative algebra, representation theory, or combinatorial aspects of commutative algebra.

MATH 7363. Topics in Algebraic Geometry. 4 Hours.

Focuses on various advanced topics in algebraic geometry, the specific subject matter depending on the interests of the instructor and of the students. Topics may include cohomology theory of algebraic schemes, study of singularities, geometric invariant theory, and flag varieties and Schubert varieties.

MATH 7364. Topics in Representation Theory. 4 Hours.

Offers topics in the representation theory of the classical groups, topics vary according to the interest of the instructor and students. Topics may include root systems, highest weight modules, Verma modules, Weyl character formula, Schur commutator lemma, Schur functors and symmetric functions, and Littlewood-Richardson rule.

MATH 7371. Morse Theory. 4 Hours.

Covers basic Morse theory for nondegenerate smooth functions, and applications to geodesics, Lie groups and symmetric spaces, Bott periodicity, Morse inequalities, and Witten deformation. Prereq. MATH 5122, MATH 7221, and MATH 7301.

MATH 7372. Characteristic Classes. 4 Hours.

Introduces fiber bundles and characteristic classes. Topics include construction of universal bundles, homotopy classification of principal bundles, bundles over spheres, cohomology of classifying spaces, Stiefel-Whitney classes, Gysin and Wang sequences, Thom isomorphism, Euler class, obstructions, Chern classes, Pontrjagin classes, vector fields on spheres, cobordism theory, Hirzebruch index formula, and exotic spheres. Prereq. MATH 7221.

MATH 7373. Topology of Complex Hypersurface. 4 Hours.

Introduces the topology of complex hypersurfaces and their singularities. Begins with the geometric content of the complex implicit function theorem, and moves quickly to the study of the Milnor fibration of a hypersurface singularity. Uses Brieskorn varieties and plane curves as fundamental examples of isolated singularities. The study of nonisolated singularities, such as the Whitney umbrella and discriminantal varieties, requires stratification theory. Covers the basics of stratified Morse theory and uses it as a tool throughout the course. The course supposes a certain familiarity with the basic objects of topology, algebra, and geometry, but reviews necessary notions as the need arises.

MATH 7374. Riemannian Geometry and General Relativity. 4 Hours.

Introduces Riemannian and pseudo-Riemannian geometry with applications to general relativity. Topics include Riemannian and pseudo-Riemannian metrics, connections, geodesics, curvature tensor, Ricci curvature and scalar curvature, Einstein’s law of gravitation, the gravitational red shift, the Schwarzschild solution and black holes, and Einstein equations in the presence of matter and electromagnetic field.

MATH 7375. Topics in Topology. 4 Hours.

Offers various advanced topics in algebraic and geometric topology, the subject matter depending on the instructor and the students. Topics may include Morse theory, fiber bundles and characteristic classes, topology of complex hypersurfaces, knot theory and low-dimensional topology, K-theory, and rational homotopy theory.

MATH 7376. Topics in Differential Geometry. 4 Hours.

Offers various advanced topics in differential geometry, the subject matter depending on the instructor and the students. Topics may include symplectic geometry, general relativity, gauge theory, and Kähler geometry. Prereq. MATH 5122 and MATH 7222.

MATH 7381. Topics in Combinatorics. 4 Hours.

Offers various advanced topics in combinatorics, the subject matter depending on the instructor and the students. Prereq. MATH 5122 and MATH 7222.

MATH 7382. Topics in Probability. 4 Hours.

Offers various advanced topics in probability and related areas. The specific subject matter depends on the interest of the instructor and students.

MATH 7391. Topics in Statistics. 4 Hours.

Focuses on various advanced topics in statistics, the specific subject matter depending on the interest of the instructor and students. Topics may include multivariate statistics and clustering; biostatistics; Stein’s paradox and admissibility, foundation; nonparametric density and regression estimation; and probabilistic and inferential aspects of reliability theory.

MATH 7392. Topics in Geometry. 4 Hours.

Focuses on various advanced topics in geometry. The specific subject matter depends on the interest of the instructor and students. Topics may include symplectic geometry and Kähler geometry.

MATH 7721. Readings in Topology. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7722. Readings in Algebraic Topology. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7723. Readings in Geometric Topology. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7725. Readings in Singularities. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7730. Readings in Combinatorics. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7731. Readings in Combinatorics and Algebra. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7732. Readings in Combinatorial Geometry. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7733. Readings in Graph Theory. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7734. Readings in Algebra. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7735. Readings in Algebraic Geometry. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7736. Readings in Discrete Geometry. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7737. Readings in Commutative Algebra. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice. Prereq. MATH 5112 and MATH 7311.

MATH 7741. Readings in Probability and Statistics. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7751. Readings: Analysis. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7752. Readings in Real Analysis. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7753. Readings in Geometric Analysis. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7754. Readings in Ordinary Differential Equations. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7755. Readings in Partial Differential Equations. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 7771. Readings in Geometry. 4 Hours.

Offers topics in geometry that are beyond the ordinary undergraduate topics. Topics include the regular polytopes in dimensions greater than three, straight-edge and compass constructions in hyperbolic geometry, Penrose tilings, the geometry and algebra of the wallpaper, and three-dimensional Euclidean groups.

MATH 7772. Readings in Coding Theory. 4 Hours.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice. Prereq. MS and PhD math students only..

MATH 7962. Elective. 1-4 Hours.

Offers elective credit for courses taken at other academic institutions.

MATH 7976. Directed Study. 1-4 Hours.

Offers independent work under the direction of members of the department on chosen topics.

MATH 7978. Independent Study. 1-4 Hours.

Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor.

MATH 7990. Thesis. 1-4 Hours.

Offers theoretical and experimental work conducted under the supervision of a departmental faculty.

MATH 7996. Thesis Continuation. 0 Hours.

Continues research for the master’s degree. Prereq. MATH 7990.

MATH 8440. Mathematical Tapas Seminar. 4 Hours.

Intended for graduate students in mathematics who have completed their master’s degree and are just starting the PhD program but have not yet selected an area of specialization or a thesis adviser. Acquaints students with the areas of research that are represented by our faculty and what it means to be a mathematical scholar. Faculty members give expository lectures on their own work or areas in which they could supervise a doctoral candidate. Gives students the opportunity to read one or two mathematical research papers during the course of the seminar; students may be asked to give an oral presentation near the end of the course.

MATH 8450. Research Seminar in Mathematics. 4 Hours.

Introduces graduate students to current research in geometry, topology, mathematical physics, and in other areas of mathematics. Prereq. Status as graduate student in mathematics or permission of instructor.

MATH 8662. Master’s Research. 2 Hours.

Offers research methods and their application to a specific problem under the direction of a graduate faculty member.

MATH 8664. Master’s Research. 4 Hours.

Offers research methods and their application to a specific problem under the direction of a graduate faculty member.

MATH 8948. Research Methods in Mathematics. 4 Hours.

Seeks to prepare students to do independent research beyond the topic of the dissertation. Offers students an opportunity to learn current trends in the area related to their dissertation. Discusses both technical methods and the ideas of how to find doable but interesting research problems.

MATH 8960. Exam Preparation—Doctoral. 0 Hours.

Offers the student the opportunity to prepare for the PhD qualifying exam under faculty supervision.

MATH 8966. Practicum. 1-4 Hours.

Provides eligible students with an opportunity for practical experience.

Offers a reading course to be arranged between an individual student and instructor on a topic of their mutual choice.

MATH 8984. Research. 1-4 Hours.

Offers an opportunity to conduct research under faculty supervision.

MATH 8986. Research. 0 Hours.

Offers an opportunity to conduct full-time research under faculty supervision.

MATH 9000. PhD Candidacy Achieved. 0 Hours.

Indicates successful completion of the doctoral comprehensive exam.

MATH 9948. Modern Mathematical Research. 4 Hours.

Offers students an opportunity to study the most recent developments in the area of their research, not necessarily directly related to the topic of their dissertation. Seeks to expand students’ horizons and to prepare them to understand talks at mathematical conferences in their area of research.

MATH 9984. Research. 1-4 Hours.

Offers an opportunity to conduct research under faculty supervision.

MATH 9986. Research. 0 Hours.

Offers an opportunity to conduct full-time research under faculty supervision.

MATH 9990. Dissertation. 0 Hours.

Offers dissertation supervision by members of the department.

MATH 9996. Dissertation Continuation. 0 Hours.

Offers dissertation supervision by members of the department. Prereq. MATH 9990.