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Course Criteria
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4.00 Credits
Highlights the role of finite element analysis in product development. Introduces the theory of finite elements in elastic/plastic, static, and transient problems. Emphasis is on solid modeling in design using available commercial finite element software. Also covers other numerical techniques such as finite difference schemes in the solution of systems of partial differential equations, and numerical solution to systems of linear and nonlinear equations.
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4.00 Credits
Covers model design and development, verification, validation, and experimentation for discrete event simulation models. Topics include problem formulation, data collection and analysis, random variable generation, and statistical analysis of output. Advanced topics include numerical methods such as tests for independence, randomness, homogeneity, uniformity, and analysis of theoretical distributions. Utilizes a major simulation language such as SIMAN, GPSS, or SIMSCRIPT.
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4.00 Credits
Introduces students to economic modeling and analysis techniques for selecting alternatives from potential solutions to an engineering problem. Presents basic methods of economic comparison such as present worth, annual worth, rate of return, and benefit/cost techniques. Studies effects of taxes on investment analysis. Also covers decision tree analysis and statistical decision techniques.
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4.00 Credits
Introduces deterministic models including linear programming, duality and post-optimality analysis, transportation and assignment problems, network flows such as shortest path, minimum spanning tree, maximum flow, and dynamic programming models and applications.
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4.00 Credits
Reviews the distributions and statistical approximations commonly applied in statistical quality control methods. Introduces analysis of variance and simple linear regression. Covers basic principles to state-of-the-art concepts and application of statistical process control and design. Applies principles to a variety of products. Topics include product quality measures and controls, Shewhart control charts, quality cost, Pareto analysis, discrete and variable sampling, and military standards in quality control.
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4.00 Credits
Covers analytical development and solution to stochastic models in operations research. Topics include Markov chains, queuing theory, inventory models and forecasting using linear regression, method of least squares, and confidence interval estimation.
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4.00 Credits
Emphasizes human sensory/motor performance, information processing capabilities, learning, memory, and skilled-task performance. Topics include an introduction to the experiment as a source of knowledge of human performance characteristics; vision, visual performance, visual display design; audition, noise, hearing damage, auditory signals; principles of somesthesis; information processing; signal detection; aging effects; and system development. Environments and equipment are subjected to usability tests that take into account principles of human-computer interaction and human anthropometric characteristics. Laboratory experiences include experimental design, data collection and analysis, and laboratory reports generation.
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1.00 Credits
Accompanies MIM U522. Covers topics from the course through various activities.
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4.00 Credits
Introduces students to the analysis, design, control, and operation of logistics and supply chain management systems. Includes the integration of supply chain components, logistics information system, production scheduling, inventory management, transportation and warehousing and facility location planning.
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1.00 Credits
Accompanies MIM U530. Covers topics from the course through various activities.
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