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Course Criteria
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3.00 Credits
Modeling and analysis of operations research problems using techniques form mathematical programming. Linear programming, integer programming, multi-criteria optimization, stochastic programming and nonlinear programming using an algebraic modeling language. This course is a version of IE 316 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 316. Prerequisite: IE 220 or equivalent background.
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3.00 Credits
Introduction to stochastic process modeling and analysis techniques and applications. Generalization of the Poisson process; renewal theory, queueing, and reliability; Brownian motion and stationary processes. This course is a version of IE 39 for graduate students, with research projects and advanced assignments. Closed to students who have taken IE 339. Prerequisite: IE 220 or equivalent background.
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3.00 Credits
Analysis of a management problem and design of its solution incorporating management science techniques. An individual written report is required. Recommended to be taken in the last semester of the program.
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3.00 Credits
Extensive study of selected topics in techniques and models of operations research.
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3.00 Credits
Extensive study of selected topics in the research and development of manufacturing engineering techniques.
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3.00 Credits
Intensive treatment of design and application of modern database technology, including information modeling and logical design of databases. Emphasis on applications to the manufacturing environment. Prerequisite: IE 310 or equivalent.
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3.00 Credits
Study of technological development, operational algorithms and performance analysis in data networks. Emphasis on recent developments in communication technologies, modeling and simulation of large-scale networks, routing models and algorithms, and flow control issues. Prerequisite: IE 341 and IE 316, or equivalent.
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3.00 Credits
Queueing theory and analysis of manufacturing, distribution, telecommunications, and other systems subject to congestion. Design and analysis of queueing networks; approximation methods such as mean value analysis, uniformization, fluid and diffusion interpretations; numerical solution approaches. Prerequisite: IE 339 or consent of instructor.
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3.00 Credits
Analysis, design and implementation of solutions to problems in financial services using information technology, mathematical modeling, and other financial engineering techniques. Emphasis on real-world problem solving, problem definition, implementation and solution evaluation.
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3.00 Credits
Study of factors affecting the development of a manufacturing management philosophy; decision-making process in areas of organization, planning, and control of manufacturing. The principles and techniques of TQM, Deming and others; metrics, costs, benchmarking, quality circles, and continuous improvement. Influence of the social, technical, and economic environment upon manufacturing management decisions. Case studies.
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