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2003-2005 - Graduate School - The University of Alabama

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396 <strong>The</strong> <strong>University</strong> <strong>of</strong> <strong>Alabama</strong>IE 577 Analysis <strong>of</strong> Queueing Systems. (3-0) Three hours.Prerequisites: IE 364, or GES 500 and GES 501.Continuous-time stochastic processes and transform methods; theory and application <strong>of</strong>Poisson queues; non-Poisson queues; and special topics such as bulk queues, tandemqueues, and waiting-line behavior. (ES3)IE 578 Advanced Linear Programming. (3-0) Three hours.Prerequisite: IE 363 or GES 501. Not open to students who have earned credit for IE478.Linear programming, duality, postoptimality analysis, the decomposition principle, bound edand discrete vari ables, goal programming, and multi-objective programming. (ES3)IE 591:592 Special Problems (Area). One to six hours.Prerequisite: Permission <strong>of</strong> the instructor.IE 595:596 Seminar. (1-0) One hour (each).Presentation and discussion <strong>of</strong> recent journal articles <strong>of</strong> importance to the field <strong>of</strong> industrialengineering. Required each semester for industrial engineering students.IE 598 Research Not Related to <strong>The</strong>sis. Variable credit.IE 599 Master’s <strong>The</strong>sis Research. Variable credit.IE 613 Systems Engineering I. (3-0) Three hours.Prerequisite: Permission <strong>of</strong> the instructor.Modern practices and theory <strong>of</strong> design and analysis <strong>of</strong> systems in industry.IE 614 Systems Engineering II. (3-0) Three hours.Prerequisite: IE 613.Continuation <strong>of</strong> IE 613 Systems Engineering I.IE 622 Quality Engineering. (3-0) Three hours.Prerequisite: GES 257 or GES 400/500.Introduction to Taguchi methods, including loss function, orthogonal arrays, and pa ram e terdesign experiments; and role <strong>of</strong> Taguchi methods in quality function deployment (QFD)process. (ES3)IE 631 Occupational Biomechanics. (3-0) Three hours.Prerequisites: IE 351 or IE 502 and GES 257 or GES 400/500.<strong>The</strong> human musculoskeletal system; statics and dynamics <strong>of</strong> anthropometry; analysisand mea sure ment <strong>of</strong> body motions; analysis <strong>of</strong> force systems in the body; and ap pli -ca tions <strong>of</strong> biomechanics in the design <strong>of</strong> the workplace, tasks, and hand tools to improvepro duc tiv i ty and reduce injuries. (ES1, ED2)IE 632 Work Physiology. (3-0) Three hours.Prerequisites: IE 351 or IE 502 and GES 257 or GES 400/500.<strong>The</strong>ory and techniques for measurement <strong>of</strong> the phys i o log i cal costs <strong>of</strong> physical work,with applications in job design and worker selection. (ES2, ED1)IE 633 Human Information Processing. (3-0) Three hours.Prerequisites: IE 351 or IE 502 and GES 257 or GES 400/500.Human mental capabilities and limitations, human-machine interfaces, mental workload,human-com put er in ter fac es, human error, and system design. (ES2, ED1)IE 634 Research Techniques in Human Engineering. (0-3) Three hours.Prerequisites: IE 526 or GES 526, and IE 631 or IE 632, or IE 633.Research design, laboratory vs. fi eld experiments, methods <strong>of</strong> measurement, ob ser -va tion, data collection, and statistical analysis. (ES2, ED1)IE 667 Discrete Event Control in Flexible Manufacturing. (3-0) Three hours.Prerequisites: <strong>Graduate</strong> standing, IE 566, some C-programming experience, and at leastone <strong>of</strong> the following: IE 670, IE 678, IE 679, IE 680, or IE 682.This course presents recent developments in the modeling and implementation <strong>of</strong> discreteevent controllers for large-scale fl exible manufacturing automation. Em pha sis willbe placed on formal discrete event modeling, analysis, and control tech niques.IE 671 Decision and Value <strong>The</strong>ory. (3-0) Three hours.Prerequisite: GES 501 and IE 364.Decision models; utility curves; subjective prob a bil i ty; un cer tain pay<strong>of</strong>fs; value <strong>of</strong> in for -ma tion; revision <strong>of</strong> prior probability; decision trees; multi-attribute utility models; and risksharing and group decisions. (ES3)

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