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Course Criteria
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3.00 Credits
Physical organization of work places and departments to optimize objectives such as material movement, safety, and worker satisfaction. Review of IME methods for work place design and productivity measurement and economic decision making. Computer solutions for layout problems and mathematical models for location problems. Prerequisite: IME 383 or IME 386.
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4.00 Credits
Static and dynamic design, analysis, specification, and financial analysis of manufacturing equipment specific to a particular product. A systems approach to the integration of machine tools, work holding, materials handling, processing, measurement, and operator interface. Laboratory in tool design, modular tool construction, and virtual modeling of tooling systems. Corequisites: IME 445 and senior standing.
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4.00 Credits
Design of linkages, cams, gears, gear trains, welded and brazed joints, springs, shafts, and flexible elements; for both static and dynamic loads. Prerequisite: CE 270304.
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3.00 Credits
Analysis and design of computer based information systems: definition of data bases, measures of effectiveness, management- staff interface. Case studies from engineering, manufacturing, and service environments. Prerequisite: Senior standing in engineering.
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4.00 Credits
Application of engineering principles to solve a real-world problem. Student works as member of a team assigned to a problem in a manufacturing, processing, service, or governmental organization. Requires a professional written and oral report. Prerequisites: 30 hours of IMET Department courses with a minimum 2.25 GPA; COM 103; consent of course coordinator.
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3.00 Credits
Analysis of the economic aspects of engineering decisions including the time value of money and the techniques of obtaining cost data. Does not count towards MSIE. Prerequisite: graduate standing in engineering or consent of instructor.
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3.00 Credits
Probability, random variables, distributions, inference, regression, linear programming, simulation. Does not count towards MSIE. Prerequisites: graduate standing in engineering or consent of instructor.
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3.00 Credits
Concepts in probability and statistics from practical and theoretical angles. Definition of probability, random variable, distribution, important discrete and continuous distributions, sampling distribution of X-bar, Central Limit Theorem, t, chi-squared and F distributions, estimation, hypothesis testing, regression analysis, and analysis of variance. Prerequisite: IME 503 or consent of instructor.
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3.00 Credits
Design and analysis of experiments in research, development, and production activities. Experimental designs for evaluating significance of main effects and interactions of several variables. Treatment of problems of measurement, planning, and evaluating programs. Prerequisite: two semesters of statistics or consent of instructor.
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3.00 Credits
Mathematical model building and use of deterministic and non-deterministic tools in problem solving. Problem solving structure, linear programming, transportation and assignment algorithms, game theory, networks, branch and bound algorithms, dynamic programming, deterministic and stochastic inventory models, markov chains, queueing theory and simulation. Prerequisite: IME 503 or consent of instructor. Not open to students with credit in IME 313 and 314.
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