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Course Criteria
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3.00 Credits
(3:3:0) Technical, organizational, and personnel project management examination including planning, estimating, budgeting, scheduling, resources management, control. Risk analysis and management using software for project performance evaluation.
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0.00 - 3.00 Credits
(3) Prerequisite: Consent of instructor and departmental approval. Individual theoretical study of advanced topic selected on the basis of departmental recommendation. May be repeated.
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3.00 Credits
(3) Prerequisite: Consent of instructor and departmental approval. Individual experimental study of an advanced topic selected on the basis of departmental recommendation. May be repeated.
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3.00 Credits
(3:3:0) Experimental, analytical, and optimization approaches for the design and operation of integrated systems emphasizing quality and resource allocation concepts, strategies, and tools.
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3.00 Credits
(3:3:0) Prerequisite: IE 3341 or equivalent. Single factor, factorial, blocked, split plot designs. Means comparisons, contrasts, estimates of variation. Confounding and fractional factorials.
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3.00 Credits
(3:3:0) Prerequisite: IE 3341 or equivalent Exploratory data analysis, graphical displays and analysis. Linear and nonlinear regression, response surfaces. Selected mainframe and microcomputer packages.
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3.00 Credits
(3:3:0) Prerequisite: IE 3341 or equivalent. System level reliability, redundancy, maintainability, and availability analysis and modeling. Life testing, acceleration, parametric, and nonparametric models.
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3.00 Credits
(3:3:0) Total quality philosophy, customer definition and demands, quality strategies, planning and integration, benchmarking, team structures and interaction, supplier qualification, and quality audits.
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3.00 Credits
(3:3:0) Advanced topics in manufacturing materials and processes, including metallic/nonmetallic materials and their fabrication, nanomaterials, powder metallurgy, nontraditional machining, rapid prototyping, and materials' testing.
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3.00 Credits
(3:3:0) This course focuses on advanced topics in the manufacturing systems and technologies, including design for manufacturing, failure mode and effect analysis, concurrent engineering, lean manufacturing, cellular manufacturing, Six Sigma, statistical process control, and emerging nanotechnology.
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