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IEMS 205-0: Methods,Standards,and Work Design
3.00 Credits
Northwestern University
Introduction to traditional topics in industrial engineering, including time study, work measurement, standards, and design. This course enables industrial engineering students to understand and assume traditional industrial engineering roles upon graduation. Prerequisite: sophomore standing and knowledge of probability and statistics.
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IEMS 205-0 - Methods,Standards,and Work Design
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IEMS 303-0: Statistics I
3.00 Credits
Northwestern University
Statistical methods for data analysis. Descriptive plots and statistics; observational studies and experiments; confidence interval estimation; hypothesis testing; regression and correlation. Homework, labs, and project. Not to be taken for credit with or after STAT 320-1. Prerequisite: 202 or equivalent.
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IEMS 303-0 - Statistics I
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IEMS 304-0: Statistics II
3.00 Credits
Northwestern University
Advanced statistical methods. Multiple regression; analysis of variance; design and analysis of single-factor and multifactor experiments; categorical data; nonparametric methods. Homework and project. Not to be taken for credit with or after STAT 320-2. Prerequisite: 303 or equivalent.
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IEMS 304-0 - Statistics II
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IEMS 305-0: Statistical Methods for Quality Improvement
3.00 Credits
Northwestern University
Methods for controlling and improving industrial processes. Control charts; process capability; gage repeatability and reproducibility. Multifactor experiments; screening experiments; robust design. Homework, labs, and project. Prerequisite: 303 or equivalent.
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IEMS 305-0 - Statistical Methods for Quality Improvement
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IEMS 306-0: Decision Analysis
3.00 Credits
Northwestern University
Theory and practice of analyzing decisions in the public and private sectors. Multiple objectives; influence diagrams; decision trees; sensitivity analysis; probability assessment; utility; human biases. Problems, cases, and projects. Prerequisite: 202 or equivalent.
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IEMS 306-0 - Decision Analysis
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IEMS 307-0: Quality Improvement by Experimental Design
3.00 Credits
Northwestern University
Methods for designing and analyzing industrial experiments. Blocking; randomization; multiple regression; factorial and fractional factorial experiments; response surface methodology; Taguchi's robust design; split plot experimentation. Homework, labs, and project.Prerequisite: 303 or equivalent.
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IEMS 307-0 - Quality Improvement by Experimental Design
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IEMS 310-0: Operations Research
3.00 Credits
Northwestern University
Survey of operations research techniques. Linear programming, decision theory, stochastic processes, game theory. Not open to industrial engineering majors. May not be taken with 313 or 315.
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IEMS 310-0 - Operations Research
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IEMS 313-0: Deterministic Models and Optimization
3.00 Credits
Northwestern University
Formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems. Efficient algorithmic methods and use of computer modeling languages and systems. Homework, exams, and project. Prerequisites: GEN ENG 205-1; MATH 230; sophomore standing.
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IEMS 313-0 - Deterministic Models and Optimization
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IEMS 315-0: Stochastic Models and Simulation
3.00 Credits
Northwestern University
Modeling and analysis of dynamic systems subject to uncertainty. Integrated approach to stochastic analysis and simulation. Rough-cut analysis of queuing systems. Homework, exams, computer labs, and project. Prerequisites: 202, 303; GEN ENG 205-1.
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IEMS 315-0 - Stochastic Models and Simulation
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IEMS 317-0: Discrete-Event Systems Simulation
3.00 Credits
Northwestern University
Com-puter simulation of discrete-change systems subject to uncertainty. Choice of input distributions; development of models; design and analysis of simulation experiments. Miniprojects, exams, and computer labs. Prerequisites: 303; 310 or 315.
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IEMS 317-0 - Discrete-Event Systems Simulation
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