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GENERAL ENGINEERING STUDIES (GES)

Dr. Kevin W. Whitaker, Coordinator
Office: 112 H. M. Comer Hall (MIB)

GES 255 Engineering Statistics I 3 hours.
Prerequisite: MATH 126.

Probability and basic statistical concepts; random variables; discrete and continuous distributions; sampling distributions; inferences concerning means; simple regression and correlation. Experiments demonstrating probabilistic and statistical concepts are conducted.

GES 257 Engineering Statistics II 3 hours.
Prerequisite: GES 255.

Hypothesis testing, multiple regression and correlation analysis; analysis of variance; applications in quality assurance and reliability. Experiments demonstrating the use of statistical methods are conducted.

GES 400 Engineering Statistics. 3 hours.
Prerequisite: MATH 126.

Not open to students with credit for GES 255. Not available for MSIE 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 401 Operations Research. 3 hours.

Prerequisite: MATH 126
Corequisite: GES 255 or GES 400/GES 500.

Not open to students with credit for IE 363. Not available for MSIE degree credit. Model construction, linear programming, network models, dynamic models, stochastic models, queuing theory, and decision theory.

GES 418 Engineering Management. 3 hours.
Prerequisite: Junior 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 451 Matrix and Vector Analysis. 3 hours.
Prerequisite: MATH 238.

Determinants and matrix algebra, linear simultaneous equations, eigenvalues and eigenvectors, matrix functions, computer techniques, vector algebra and calculus, and integral theorems.

Advanced Undergraduate/Entry-level Graduate Courses

GES 500 Engineering Statistics. 3 hours.
Prerequisite: MATH 126.

Not open to students with credit for GES 255 or GES 400. Not available for MSIE 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. 3 hours.
Prerequisite: MATH 126.
Corequisite: GES 255 or GES 400/GES 500.

Not open to students with credit for IE 363. Not available for MSIE degree credit. Model construction, linear programming, network models, dynamic models, stochastic models, queuing theory, and decision theory.

GES 518 Engineering Management. 3 hours.
Prerequisite: Graduate standing.

Not open to students with credit for IE 418/GES 418. 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 3 hours.

Prerequisite: GES 257 or GES 400 or GES 500.

Methods of quality planning and analysis.

GES 526 Design and Analysis of Experiments 3 hours.
Prerequisite: GES 257 or GES 400 or GES 500.

Not open to students with credit for IE 426. Design of experiments and the application of analysis of variance, regression analysis, and related statistical methods.

GES 551 Matrix and Vector Analysis. 3 hours.
Prerequisites: GES 126 and MATH 238.

Determinants and matrix algebra, linear simultaneous equations, eigenvalues and eigenvectors, matrix functions, computer techniques, vector algebra and calculus, and integral theorems.

GES 554 Partial Differential Equations. 3 hours.
Prerequisites: GES 126 and MATH 238.

Linear partial differential equations and related boundary value problems, separation of variables, Fourier series and integrals, Bessel and Legendre functions, and numerical methods using computers.

GES 575 Stochastic Processes. 3 hours.
Prerequisite: GES 500.

Not available for MSIE degree credit.

GES 585 Genetic Algorithms in Optimization and Machine Learning. 3 hours.
Prerequisites: Graduate standing, and GES 249 or AEM 249, or CS 110 or CS 114.

GES 587 Neural Networks. 3 hours.
Prerequisites: Graduate standing, and GES 249 or AEM 249, or CS 114 or CS 513.

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