Courses

Mathematics and Statistics Courses

The following courses count toward the degree. For a complete description of the courses, please consult the Graduate Catalog.

  • MATH 504 Dynamical Systems
  • MATH 5055 Integral Equations
  • MATH 514 Numerical Solutions of Partial Differential Equations
  • MATH 515 B-Splines and their Applications
  • MATH 516 Partial Differential Equations
  • MATH 520 Stochastic Processes
  • MATH 523 Linear Algebra with Applications
  • MATH 525 Mathematical Statistics II
  • STAT 530 Applied Regression Analysis
  • STAT 535 Data Analysis and Modeling
  • STAT 545 Reliability and Survival Analysis
  • MATH 551 Advanced Calculus I
  • MATH 554 Fourier Series and Boundary Value Problems
  • MATH 555 Functions of a Complex Variable and Applications
  • MATH 562 Mathematical Modeling
  • MATH 572 Introduction to Numerical Analysis
  • MATH 573 Matrix Computation
  • MATH 582 Computer Algebra Systems
  • MATH 583 Discrete Optimization
  • MATH 584 Applied and Algorithmic Graph Theory
  • MATH 590 Topics in Mathematics and Statistics
  • MATH 595 Master's Project Seminar
  • MATH 599 Independent Research Project

 

Cognates

The following courses count toward the degree. Many of these courses have prerequisites beyond those required for admission to the program. If a student has only the courses required for admission to the program, then the following courses should be accessible: IMSE 500, ME 510, DS 570, OM 521. If the student takes IMSE 500, then IMSE 505 should be accessible. If a student has taken a course in probability and statistics equivalent to IMSE 317, then the courses ECE 552, ECE 555, and ECE 585 should be accessible.

Computer and Information Science

  • CIS 505 Algorithm Design and Analysis
  • CIS 515 Computer Graphics
  • CIS 527 Computer Networks
  • CIS 532 Theory of Computation and Formal Languages
  • CIS 537 Theory of Networking
  • CIS 551 Advanced Computer Graphics
  • CIS 552 Computer Animation
  • CIS 573 Software Reliability

Economics

  • ECON 515 Introduction to Econometrics

Electrical and Computer Engineering

  • ECE 552 Fuzzy Systems
  • ECE 555 Stochastic Processes
  • ECE 560 Modern Control Theory
  • ECE 565 Digital Control
  • ECE 567 Non-linear Control Systems
  • ECE 585 Pattern Recognition
  • ECE 665 Optimal Control

Industrial and Manufacturing Systems Engineering

  • IMSE 500 Models of Operations Research
  • IMSE 505 Optimization
  • IMSE 506 Stochastic Models
  • IMSE 510 Probability and Statistical Models
  • IMSE 511 Design and Analysis of Experiments
  • IMSE 514 Multivariate Statistics
  • IMSE 520 Managerial Decision Analysis
  • IMSE 567 Reliability Analysis

Management

  • DS 570 Management Science
  • OM 521 Operations Management

Mechanical Engineering

  • ME 510 Finite Element Methods
  • ME 518 Advanced Engineering Analysis

Physics

  • PHYS 503 Electricity & Magnetism
  • Certain 400 level courses in Physics are acceptable as cognate courses. Students interested in taking one of these should consult with their graduate advisor.

Other graduate level courses outside the Department of Mathematics and Statistics approved by the student's graduate advisor.