GENERAL ENGINEERING STUDIES (GES)
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
Additional information is in the
section and the
section of this catalog.
GES courses are interdisciplinary and may be taken to meet
individual program requirements.
GES 500 Engineering Statistics.
Three hours. (Mechanical
Prerequisite: MATH 126. Not open to students who have earned credit
for GES 255 or GES 400; not available for MSIE or MSCS
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
Prerequisite: MATH 126.
Corequisite: GES 255, GES 400, or
Model construction, linear programming, network models, dynamic
models, stochastic models, queueing theory, and decision theory.
GES 518 Engineering Management. Three hours. (Civil,
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
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
Prerequisite: GES 257, GES 400, or
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
GES 575 Stochastic Processes. Three hours. Same as
ECE 575. (Electrical and
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,
GES 585 Genetic Algorithms.
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
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