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IE 345: REGRESSION APPLICATIONS AND FORECASTING IN ENGINEERING

This course studies the essentials of effective regression analysis and forecasting methods, as well as the importance of communicating regression analysis and forecasting results through written report and verbal presentations.

Course information: 3 hours
Prerequisite(s): IE 342
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ME/IE 467: DISCRETE EVENT COMPUTER SIMULATION APPLICATION

The solution of industrial application problems by means of discrete event computer simulation. This course involves simulation model building, input analysis, output analysis, as well as in depth study of some specific simulation programming languages, with projects.

Course Information: 3 undergraduate hours
                                       4 graduate hours.
Prerequisite(s): IE 342
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IE 442: Design and Analysis of Experiments in Engineering

This course has 2 lectures and 1 lab session each week. This course includes simple comparative experiments, single factor experiment, randomized blocks, Latin squares, and related designs, factorial design, regression model, response surface method and other approach to optimization, course project, and lab session.

Course Information: 3 undergraduate hours
4 graduate hours.
Prerequisite(s): IE 342
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ME/IE 481: Additive Manufacturing Process)

This course aims to help graduate students in understanding the latest developments and critical challenges of 3D printing, and provide students with related techniques and practical experience in developing novel AM processes and applications.
Course information: 3 hours
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