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Course Criteria
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3.00 Credits
Introduction to probability and statistics in engineering applications including data analysis, probability theory, random variables, probability distributions, sampling and sampling distributions, and statistical inference. (Lec. 3) Pre: MTH 243 or permission of instructor.
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3.00 Credits
Study of statistical methods and quality control in engineering applications including sampling and sampling distributions, statistical inference, quality improvement tools, control charts, process capability, design of experiments, and acceptance sampling. (Lec. 3) Pre: 411 or STA 409 or permission of instructor.
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3.00 Credits
Introduction to major areas of operations research and their application to systems analysis. Linear programming, transportation and transshipment models, elementary network analysis, integer programming, and related topics. (Lec. 3) Pre: MTH 243, 362 or equivalent.
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3.00 Credits
Markov chains, dynamic programming, queuing theory, simulation, forecasting, game theory simple stochastic models, and their relation to selected problems. (Lec. 3) Pre: 411 and MTH 362 or 244 or permission of instructor.
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3.00 Credits
Machine tool motions, power requirements, and machining times. Mechanics and economics of metal machining. Introduction to numerical control and computer-aided programming of CNC machine tools. (Lec. 3) Pre: CVE 220 and ISE 240 or 340.
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3.00 Credits
Types and economics of automatic assembly systems. Analyses of automatic feeding and orienting techniques for small parts. Application of robots in assembly. (Lec. 3) Pre: MCE 263 and ISE 240 or 340.
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3.00 Credits
Study of the characteristics of metal flow under different loading conditions. Theories, capabilities, and limitations of a wide range of deformation processes applied to industrial metalworking. (Lec. 3) Pre: 240 or 340, CVE 220, and CHE 333.
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3.00 Credits
Techniques for analyzing product structures for ease of assembly and manufacture. Manual, robot, and high-speed mechanized assembly systems considered for mechanical and electronic products. Covers choice of material and processes in early design. (Lec. 3) Pre: 240 or 343, or permission of instructor.
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3.00 Credits
Stochastic and deterministic models of production and inventory systems. Aggregate planning, push and pull production control systems, lean production systems, and scheduling. (Lec. 3) Pre: 432 and concurrent enrollment in 433 or permission of instructor.
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3.00 Credits
A team project approach to industrial engineering design including assembly lines, transfer lines, scheduling, cellular manufacturing, flexible manufacturing facilities, operation and material flow design; facilities design and operation; production systems design. (Lec. 3) Pre: 451 or permission of instructor.
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