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Graduate courses are offered on a regular basis in some departments, as indicated in the course listings. However, all graduate courses are taught only upon sufficient demand. In the following course listing, each description contains a set of parentheses immediately preceding the semester hours. The first number within the parentheses indicates the number of contact hours per week in lecture, recitation, or seminar. The second number indicates the number of contact hours per week in laboratory.


The College of Engineering requires that a grade of "C" or better be earned in all prerequisite courses.

Additional information is in the Admission Criteria section and the Degree Requirements section of this catalog. 


Course Descriptions

GES courses are interdisciplinary and may be taken to meet individual program requirements.

GES 500 Engineering Statistics. Three hours. (Mechanical Engineering.)
Prerequisite: MATH 126. Not open to students who have earned credit for GES 255 or GES 400; not available for MSIE or MSCS degree credit.
Probability and basic statistical concepts. Discrete and continuous distributions; the central limit theorem; sampling distributions; point and interval estimation; hypothesis testing; regression and correlation analysis; analysis of variance.

GES 501 Operations Research.
Three hours. (Civil, Construction, and Environmental Engineering.)
Prerequisite: MATH 126.
Corequisite: GES 255, GES 400, or GES 500.
Model construction, linear programming, network models, dynamic models, stochastic models, queueing theory, and decision theory.

GES 518 Engineering Management. Three hours.  (Civil, Construction, and Environmental Engineering.)
Prerequisite: Graduate standing.
An introduction to management principles and the management functions of planning, organizing, motivating, and controlling. Management of research, design, manufacturing, and quality will be studied.

GES 522 Quality Engineering. Three hours. (Mechanical Engineering.) Prerequisite: GES 257 or GES 400, or GES 500 or consent of instructor.
Introduction to Taguchi methods, including loss function, orthogonal arrays, and parameter design experiments. Role of Taguchi methods in quality function deployment (QFD) process.

GES 526 Design and Analysis of Experiments. Three hours. Same as ME 526. (Mechanical Engineering.)
Prerequisite: GES 257, GES 400, or GES 500. Not open to students who have earned credit for ME 426.
Design of experiments and the application of analysis of variance, regression analysis, and related statistical methods.

GES 551 Matrix and Vector Analysis. Three hours. (Aerospace Engineering/Mechanics.) Prerequisite: MATH 253 or permission of the instructor.
This course provides a graduate level overview of linear algebra and vector analysis. Topics covered include; linear simultaneous equations, eigenvalues and eigenvectors, matrix functions, computer techniques, and transformations, vector calculus, the Laplacian, and integral theorems such as the theorems of Green and Stokes.

GES 554 Partial Differential Equations.
Three hours. (Aerospace Engineering/Mechanics.)
This course examines the solution of partial differential equations by focusing on three specific equations: (1) the heat equation, (2) the wave equation, and (3) Laplace 's equation. Topics covered include: Fourier transforms, Sturm-Liouville problems, classification of partial differential equations, Bessel functions, and numerical methods for solving partial differential equations.

GES 555 Nonlinear Partial Differential Equations. Three hours.
Aerospace Engineering and Mechanics
Prerequisite: GES 554
An introduction to nonlinear partial differential equations. Exact solutions, approximate solutions, and numerical solutions will all be considered. The course content is supported by numerous applications.

GES 575 Stochastic Processes. Three hours. Same as ECE 575. (Electrical and Computer Engineering.)
Prerequisite: GES 500.
Engineering applications of probability theory; problems on sequences of random variables, convergence, stochastic processes, stationarity, ergodicity, correlation function, spectral densities, linear systems with random inputs, design of filters and predictors, Markov processes.

GES 585 Genetic Algorithms. Three hours.
Prerequisite: CS 110 or CS 114 and graduate standing.
Theory and application of genetic algorithms. Computer implementation and current applications in parameter and combinatorial optimization and optimal control genetics-based machine learning systems. Focus on both fundamental theory and modern applications.

GES 658 Applied Numerical Methods. Three hours. (Aerospace Engineering/Mechanics.)
Prerequisites: GES 451 and MATH 238.
Condensed coverage of numerical methods essential in engineering: interpolation, integration, root calculation, matrix algebra, eigenvalue problems, matrix differential equations, two-point boundary value problems, least square approximation, Fast Fourier Transforms, and optimization methods. Emphasis is on applications with extensive FORTRAN programming.

GES 695:696 Seminar. One hour.




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