Computer Science
  Graduate Course Descriptions
MAT 500 Seminar in Mathematics Education Credit 3.
Contemporary issues and practical aspects in mathematics teaching, literature survey, heuristics for problem solving and problem posing. Prerequisite: Approval of the department.  
   
MAT 504 Advanced Linear Algebra Lec. 3 Credit 3.
Linear Transformations, isomorphisms, linear functionals, dual spaces, ideal thory in polynomial rings, eigenvalues and eigenvectors, diagonalizable transformations, Jordan canonical form, normal and unitary opeartors, bilinear forms. Prerequisite: MAT 320  
   
MAT 505 Introduction to Topology Lec. 3 Credit 3.
Metric spaces, point set topology, open and closed sets, closure, continuity, connectedness, compactness, separability properties, Cauxhy sequences and completeness, product spaces. Prerequisite: MAT 416  
   
MAT 506 Numerical Analysis I Lec. 3 Credit 3.
Finite precision arithmetic, interpolation, spline approximation, numerical integration, numerical solution of linear and nonlinear systmes of equations, optimization in finite dimensional spaces Prerequisites: MAT 208, MAT 251  
   
MAT 507 Numerical Analysis II Lec. 3 Credit 3.
Numerical methods for initial value problems and boundary value problmes of ODE's, stability analysis, numerical eigenvalue problems, approximation theory, numerical methods for PDE's. Prerequisite: MAT 506  
   
MAT 511 Advanced Ordinary Differential Equations Lec 3. Credit 3.
Series solutions of differential equations, special functions, systems of linear differential equations, eigenvalues and fundamental matrices, 2-dimensional autonomous systems, Liapunov stability theory, boundary value problems, Sturm-Liouville problems, Prerequisite: MAT 260  
   
MAT 512 Elements of Mathematics Modeling Lec 3. Credit 3.
Mathematical modeling of problems arising in different practical areas of every day life, including population dynamics, traffic flow, singularity analysis. Prerequisite: MAT 260  
   
MAT 513 Elements of Real Analysis Lec 3. Credit 3.
Sequences and their limits, series, topology of the real line, metric spaces, limits and continuity, differentiability and integrability of functions, sequences and series of functions. Prerequisite: MAT 416  
   
MAT 514 Introduction to Modern Analysis Lec 3. Credit 3.
Metric spaces, normed linear spaces, linear operators, linear functional and dual spaces, strong and weak convergence, Introduction to integration theory, LP spaces, Hilbert spaces. Prerequisites: MAT 416, MAT 208  
   
MAT 515 Functions of a Complex Variable Lec 3. Credit 3.
Complex numbers, analytic functions, Cauchy-Riemann equations, Cauchy theorem, Cauchy integral formula and its applications, Liouville's theorem, Taylor and Laurent series, residues and poles, conformal mappings. Prerequisite: MAT 416  
   
MAT 520 Mathematics for Elementary School Teachers I Lec 3. Credit 3.
Systematic development of the number systems: natural numbers, integers, rational numbers and real numbers, anaysis of basic algorithmic proceses of arithmetic operations, metric systems, topics from geometry. Prerequisite: Approval of the department.  
   
MAT 521 Mathematics for Elementary School Teachers II Lec 3. Credit 3.
Elementary topics from number theory, probability, data analysis, appropiate techniques of teaching mathematics in elementary schools. Prerequisites: MAT 520  
   
MAT 522 Mathematics for Exceptional Children within Regular School Program (A/S) Lec 3. Credit 3.
Current trends and techniques for individualizing mathematics in the regular classroom of K-8 for exceptional children (both gifted adn those with minor learning disabilities and/or handicap), non-clinical diagnostic prescriptive approach using appropriate sequences of instructional emphasis on the classroom environment. Prerequisite: Approval of the department.  
   
MAT 605 Algebraic Structures Lec 3. Credit 3.
Group Theory, homomorphism theorems, Sylow theorems, elementary ring theory, field theory, field extensions. Prerequisite: MAT 320  
   
MAT 606 Probability Theory Lec 3. Credit 3.
Mathematical foundations of probability, probability spaces, random variables, distribution functions, sampling distributions expectation and conditional expectation, laws of large numbers. Prerequisite: MAT 513  
   
MAT 607 Mathematical Statistics Lec 3. Credit 3.
Parametric point estimation, Bayes estimators, parametric interval estimation, theory of hypothesis testing, linear models, nonparametric statistics. Prerequisites: MAT 606  
   
MAT 608 Partial Differential Equations I Lec 3. Credits 3.
Classification of PDE's linear and quasi-linear wave equations, separation of variables, Sturm-Liouville problems, non-homogeneous equations, Green's functions for time independent problems, generalized Fourier series. Prerequisite: MAT 511