• IE 200: Engineering Statistics

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Introduction to probability concepts, probability distributions, data collection, descriptive statistics, discrete distributions, continuous distributions, estimation of means, confidence intervals, hypothesis tests, regression, and correlation. Emphasis on industrial engineering techniques for data collection, data analysis, and engineering probability and statistics.(RE) Prerequisite(s): Mathematics 142 or 148.
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• IE 201: Intro to Indust/Systms Engr

  3.00 Credits

  The University of Tennessee - Knoxville

  
  This course introduces the incoming Industrial and Systems Engineering (ISE) students to the different aspects of the practice of industrial engineering including but not limited to supply chain logistics, healthcare, manufacturing and service operations, etc. (RE) Prerequisite(s): Sophomore standing in Industrial and Systems Engineering.
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• IE 202: Work Measur/Intro Manuf Proc

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Introduction to methods, standards, work design, and productivity improvement. Work method design: exploratory, documentation, and analysis tools. Operation analysis: product, process and schedule design. Introduction to facilities layout, work design, work method improvement, time study, learning curves, and wage incentives systems. A survey of manufacturing processes, traditional machining, and non-traditional machining. Fundamental principles and procedures will be applied through a class project developed by students working in teams.(RE) Prerequisite(s): Engineering Fundamentals 152 or 157.(RE) Corequisite(s): 200 or Statistics 251.Recommended Background: Completion of freshman engineering courses.Comment(s): Available to other majors who have completed an introductory course in probability and statistics.
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• IE 250: Lead in Industrial Engineering

  1.00 Credits

  The University of Tennessee - Knoxville

  
  Aspects of leadership in a professional environment will be studied from current literature reading and discussions. Industry professionals will periodically lead the class to enlighten students to aspects of the practice of industrial engineering. Regular submission of written papers on assigned and discussed topics will be critically reviewed to emphasize key aspects of professional level written communications including content, format, and referencing.Satisfies General Education Requirement: (WC).(RE) Prerequisite(s): ENGL 102, ENGL 132, ENGL 290, or ENGL 298.Registration Restriction(s): Industrial engineering major; minimum student level ― sophomore.
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• IE 300: Quality Control/Management

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Theory and application of statistical quality control and improvement, including both traditional and modern methods; statistical process monitoring; and process and measurement system capability analysis.Contact Hour Distribution: 3 hours lecture.(RE) Prerequisite(s): 200 or Statistics 251.Comment(s): Available to other majors who have completed an introductory course in probability and statistics..
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• IE 301: Op Res I: Deterministic Models

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Integrated system modeling concepts. Linear mathematical programming models including modeling, the simplex procedure, sensitivity analysis, dual theory, transportation, transshipment, and assignment problems, and integer linear programming.(RE) Prerequisite(s): Mathematics 200.Recommended Background: Completion of an introductory course in probability and statistics.
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• IE 304: Intro to Human Factors Engr

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Human capabilities and limitations affecting work, workplace, and work environment design. Emphasis on human factors methodology, human input requirements, human outputs, the design of human-machine interfaces, the analysis of stress on performance, and environmental factors such as noise, lighting, and atmospheric conditions. Focus on designing the task to fit the person.Comment(s): Available to other majors who have completed an introductory course in probability and statistics.Registration Restriction(s): Minimum student level ― junior.
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• IE 310: Op Res II: Probabilistic Model

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Probabilistic Models, including decision makings under uncertainty, inventory models, Markov Chains, and queuing theory.(RE) Prerequisite(s): 200 or Statistics 251; and 301.Recommended Background: Completion of a computer-programming course.
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• IE 317: Hon: Operat Rsrch/Ind Engr II

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Students will attend 310 classes with supplementary assignments and/or class meetings.(RE) Prerequisite(s): 200 or Statistics 251; and 301.
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• IE 340: Design of Experiments

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Development and discussion of fundamental theory, concepts and procedures required for the efficient design and analysis of industrial experiments. Topics covered include the statistical approach, screening procedures for factor and interaction effects in one-factor and multiple-factor experiments with and without restrictions on randomization, two-level and mixed-level full and fractional factorial designs with and without blocks, response surface methodology, and Taguchi methods. Integrated treatment of these topics provides knowledge and skills for process and product improvement in engineering applications. Use of specialized software for experimental data analysis. (RE) Prerequisite(s): 200. Recommended Background: Completion of an introductory course in probability and statistics.
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