# Mathematics Courses

MATH 500 - Discrete Mathematics
Hours: 3
Study of formal logic; sets; functions and relations; principle of mathematical induction; recurrence relations; and introductions to elementary number theory and graph theory; counting (basic combinatorics); asymptotic complexity of algorithms; and NPcompleteness. This course is useful to those taking graduate classes in computer science. It also helpful to secondary teachers by giving them a better understanding of the terms and ideas used in modern mathematics. This is an elective course, eligible for the non-thesis option of the MS degree in math only. The maximum credit hours can be earned towards the MS degree in math among MATH 500, 550, 560 is six. Prerequisites: A grade of C or better on MATH 2414.

MATH 501 - Mathematical Statistics I
Hours: 3
A graduate level course in Probability Theory intended to provide the theoretical background for a course in statistical inference. Topics covered include: probability, random variables, distributions, moments, convergence of random variables, probability inequalities, random samples. Prerequisites: MATH 2415, or Math 314, with a minimum grade of C.

MATH 502 - Mathematical Statistics II
Hours: 3
A graduate level course in statistical inference. Topics covered include: point estimation, interval estimation, hypothesis testing, Bayesian inference. Prerequisites: MATH 501.

MATH 503 - Actuarial Mathematics
Hours: 3
A course in business/financial mathematics designed as an introduction to actuarial science and as preparation for the Exam P/1 and Exam FM actuarial exams. Encounters appropriate topics from analysis, linear algebra, probability and statistics, and financial mathematics. Prerequisites: MATH 401 or MATH 402/403 or equivalent.

MATH 511 - Real Analysis I
Hours: 3
Properties of real numbers, continuity, differentiation, integration, sequences and series of functions, differentiation and integration of functions of several variables. Prerequisites: MATH 2415, or Math 314, or Consent of Instructor.

MATH 512 - Real Analysis II
Hours: 3
Properties of real numbers, continuity, differentiation, integration, sequences and series of functions, differentiation and integration of functions of several variables. Prerequisites: MATH 511.

MATH 515 - Dynamical Systems
Hours: 3
Topics can be chosen from discrete or/and continuous dynamical systems such as linear systems and linear algebra, local theory for nonlinear systems, local existence-uniqueness theorem, the Hartman-Grobman theorem, Liapunov functions, the stable manifold theorem, limit sets of trajectories, the Poincare-Bendixson theorem, bifurcation theory, center manifold and normal form, chaotic dynamics, iteration of functions, graphical analysis, the linear, quadratic and logistic families, fixed points, symbolic dynamics, topological conjugacy, complex iteration, Julia and Mandelbrot sets. Prerequisites: MATH 2414 and MATH 2318.

MATH 517 - Calculus of Finite Differences
Hours: 3
Finite differences, integration, summation of series, Bernoulli and Euler Polynomials, interpolation, numerical integration, Beta and Gamma functions, difference equations. Prerequisites: MATH 2415 or Math 314 with a minimum grade of C.

MATH 518 - Thesis
Hours: 3-6
This course is required of all graduate students who have an Option I degree plan. Graded on a (S) satisfactory or (U) unsatisfactory basis. Prerequisite: Consent of the instructor.

MATH 522 - General Topology I
Hours: 3
General Topology I - Three semester hours Ordinals and cardinals, topological spaces, identification topology, convexity, separation axioms, covering axioms. Pre-requisites : MATH 440 or consent of instructor.

MATH 523 - General Topology II
Hours: 3
The course is a continuation of MATH 522. Compact spaces, metric spaces, product spaces, convergence, function spaces, path connectedness, homotopy, fundamental group. Prerequisites: MATH 522.

MATH 529 - Workshop in School Mathematics
Hours: 3
This course may be taken twice for credit. A variety of topics, taken from various areas of mathematics, of particular interest to elementary and secondary school teachers will be covered. Consult with instructor for topics.

MATH 531 - Theory of Matrices
Hours: 3
Vector spaces, linear equations, matrices, linear transformations, equivalence relations, metric concepts. Prerequisites: MATH 333 or 334 with a minimum grade of C.

MATH 532 - Fourier Analysis and Wavelets
Hours: 3
Inner Product Spaces; Fourier Series; Fourier Transform; Discrete Fourier Analysis; Haar Wavelet Analysis; Multiresolution Analysis; The Daubechies Wavelets; Applications to Signal Processing; Advanced Topics. Prerequisites: MATH 333 or the Consent of the instructor.

MATH 533 - Linear and Nonlinear Optimization
Hours: 3
Graphical optimization, linear programming, simplex method, interior point methods, nonlinear programming, optimality conditions, constrained and unconstrained problems, combinatorial and numerical optimization, applications. Prerequisites: MATH 333 with a minimum grade of C.

MATH 536 - Cryptography
Hours: 3
The course begins with some classical cryptanalysis (Vigenere ciphers, etc). The remainder of the course deals primarily with number-theoretic and/or algebraic public and private key cryptosystems and authentication, including RSA, DES, AES and other block ciphers. Some cryptographic protocols are described as well. Prerequisites: MATH 437, or MATH 537, or consent of the instructor.

MATH 537 - Theory of Numbers
Hours: 3
Factorization and divisibility, diophantive equations, congruences, quadratic reciprocity, arithmetic functions, asymptotic density, Riemann's zeta function, prime number theory, Fermat's Last Theorem. Prerequisites: MATH 437 or Consent of instructor.

MATH 538 - Functions of Complex Variables I
Hours: 3
Geometry of complex numbers, mapping, analytic functions, Cauchy-Riemann conditions, complex integration. Taylor and Laurent series, residues. Prerequisites: MATH 436, or MATH 438, Consent of Instructor.

MATH 539 - Functions of Complex Variables II
Hours: 3
Geometry of complex numbers, mapping, analytic functions, Cauchy-Riemann conditions, complex integration. Taylor and Laurent series, residues. Prerequisites: MATH 538.

MATH 543 - Abstract Algebra I
Hours: 3
Groups, isomorphism theorems, permutation groups, Sylow Theorems, rings, ideals, fields, Galois Theory. Prerequisites: MATH 334 or MATH 550, or Consent of Instructor.

MATH 544 - Abstract Algebra II
Hours: 3
Groups, isomorphism theorems, permutation groups, Sylow Theorems, rings, ideals, fields, Galois Theory. Prerequisites: MATH 543.

MATH 546 - Numerical Methods and Learning
Hours: 3
The course will include numerical methods for derivatives and integrals approximation, teach Euler's and Runge-Kutta methods for solving ordinary differential equations, and study methods for approximate solution of partial differential equations (PDE), including parabolic PDE. Students will learn also how to program the basic methods in MatLab, improving their skills in working with this software. Prerequisites: Consent of the instructor or MATH 2415 or MATH 314 with min grade of C.

MATH 550 - Foundations of Abstract Algebra
Hours: 3
This course will cover the fundamental properties of algebraic structures such as properties of the real numbers, mapping, groups, rings, and fields. The emphasis will be on how these concepts can be related to the teaching of high school algebra. Note: This course will be helpful to secondary teachers by giving them a better understanding of the terms and ideas used in modern mathematics. This is an elective course, eligible for the non-thesis option only. The maximum credit hours can be earned towards the MS degree in math among MATH 500, 550, 560 is six. Prerequisites: MATH 332 or or MATH 500 with a minimum grade of C. Crosslisted with: MATH 334.

MATH 560 - Euclidean and NonEuclidean Geometry
Hours: 3
The National Council of Teachers of Mathematics (NCTM) in its Principles and Standards states the geometric skills that students should be able to use when they finish high school.This course trains students, particularly, middle and high-school teachers for understanding and mastering these geometric skills. This is an elective course, eligible for the non-thesis option of the MS degree in math only. The maximum credit hours can be earned towards the MS degree in math among MATH 500, 550, 560 is six. Prerequisites: MATH 332 or MATH 500.

MATH 561 - Regression Analysis
Hours: 3
A computer oriented statistical methods course which involves concepts and techniques appropriate to design experimental research and the application of the following methods and techniques: methods of estimating parameters and testing hypotheses about them; analysis of variance, multiple regression methods, orthogonal comparisons, experimental designs with applications. Prerequisites: MATH 401 or 502, or 402 and 403.

MATH 563 - Image Processing with Elements of Learning
Hours: 3
Introduction to image processing, with applications to images from medicine, agriculture, satelite imagery, physics, etc. Students will learn techniques such as edge detection, 2D image enhancement using laplacian and gradient operators, fourier transforms and the FFT, filtering, and wavelets, as time allows. Students will acquire practical skills in image manipulation by implementing the above mentioned algorithms. Prerequisites: MATH 2414 with a grade of C or better.

MATH 569 - Image Analysis and Recognition with Learning
Hours: 3
Description: This class will start with an introduction to color image processing using vector functions. The basics of Wavelets theory will be developed in order to expand a function for the purpose of multiresolution imaging. The following step is the objects representation and description. Then, basic Mathematical Morphology operations will be formulated. Two different set of methods will be taught from the field of Objects/Pattern Recognition: Decision theoretic methods- build up a decision function on the base of a metric; structural methods- based on correlation; and templates with radial and circular lines. The course will end with teaching methods for image segmentation to objects and background. The students program image analysis methods or their components in Java/C++/Matlab. Prerequisites: Instructor approval. Crosslisted with: CSCI 569.

MATH 572 - Modern Applications of Mathematics
Hours: 3
This course, specifically designed for teachers, covers a range of applications of mathematics. Topics may include classical encryption, data compression ideas, coding theory, private and public key cryptography, data compression including wavelets, difference equations, GPS systems, computer tomography, polynomial interpolation/Belier curves, construction and use of mathematical models, probability theory, Markov chains, network analysis, linear programming, differentiation and integration, linear algebra, complex variables, Fourier-series, Fourier and Laplace transforms and their applications, differential equations, integral equations, calculus of variations, and topics from student presentations. Prerequisites: MATH 2414 or MATH 192 with a minimum grade of C.

MATH 580 - Topics in the History of Mathematics
Hours: 3
A chronological presentation of historical mathematics. The course presents historically important problems and procedures. Prerequisites: MATH 332 or MATH 500.

MATH 589 - Independent Study
Hours: 1-4
Individualized instruction/research at an advanced level in a specialized content area under the direction of a faculty member. Note: May be repeated when the topic varies. Prerequisites: Consent of department head.

MATH 595 - Research Literature & Techniques
Hours: 3
This course provides a review of the research literature pertinent to the field of mathematics. The student is required to demonstrate competence in research techniques through literature investigation and formal reporting of a problem. Graded on a (S) satisfactory or (U) unsatisfactory basis. Prerequisites: Consent of instructor.

MATH 597 - Special Topics
Hours: 3
Organized class. May be repeated when topics vary. Prerequisites: Consent of instructor.