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    • 1.00 Credits

      Students engage in department outreach and engagement activities. Technical report writing and/or presentation is required. The credit earned from this course may be used as approved technical elective credit in the Industrial Engineering degree program (consult departmental academic advisor for details).Grading Restriction: Satisfactory/No Credit grading only.Repeatability: May be repeated. Maximum 3 hours.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 – junior. Registration Permission: Consent of instructor.
    • 3.00 Credits

      Fundamental concepts, theory and procedures for the study of facilities design and location; physical layout; material flow principles; and material handling. Product design, process planning and schedule design are integrated through the development of analytical procedures and use of layout planning software to enhance the decision-making process in the design, rationalization and improvement of factory and office layouts. The knowledge learned in this course is integrated with knowledge from selected related courses to develop a laboratory design project by students working in teams.Contact Hour Distribution: 2 lecture, 2 lab (3 hour total).(RE) Prerequisite(s): 202.(RE) Corequisite(s): 405.
    • 3.00 Credits

      Theory and application of forecasting systems including regression and time series models. Independent demand inventory models, including development of safety stock. All modules of Manufacturing Resource Planning (MRP) Systems. Master production scheduling, resource requirements planning, bill of material and inventory file structures, material requirements planning, capacity planning, shop floor and purchase order control. Overview of just-in-time inventory concepts and MRP's role in manufacturing automation.(RE) Prerequisite(s): 202.(RE) Corequisite(s): 300.
    • 2.00 Credits

      Current real-world problems will be drawn from local production and service organizations and presented by personnel from these organizations. Senior industrial engineering student teams will solve these real-world problems under the guidance of their instructor using industrial engineering methodology. These problems emphasize problem definitions, analysis, and presentation with considerations for engineering standards and realistic economic, environmental, ethical, safety, social, political, and other pertinent constraints.(RE) Prerequisite(s):300 and 301.(RE) Corequisite(s): 405.Recommended Background: Completion of all industrial engineering junior-level courses.Registration Permission: Consent of instructor.
    • 3.00 Credits

      Role of engineering economy in engineering practice; principles of economic equivalence; time value of money and discounted cash-flow techniques; analysis of single and multiple investments; comparison of alternatives; capital recovery and tax implications; inflation; public sector analysis; cost estimation; depreciation schedules; break-even point concepts; decision making under uncertainty; risk analysis; introduction to investing in the financial market; basic accounting principles and financial statements including balance sheets, income statements, cost of goods sold statements, and business ratios.Registration Restriction(s): College of Engineering or Biosystems Engineering majors.
    • 3.00 Credits

      Simulation of complex business and industry processes using current simulation software (e.g., Arena) where management, strategic and operational decision making can be enhanced through modeling and analysis. Introduction to modeling concepts, flowcharting, random number generation, design of experiments, simulation logic, computer animation, and optimization. Utilization of statistical tools to analyze inputs and outputs to simulation models. Provides hands-on experiences in developing simulation models for relevant manufacturing and service industry case studies.(RE) Prerequisite(s): 200 or Statistics 251.(RE) Corequisite(s): 310.Recommended Background: Completion of 202 and an introductory course in probability and statistics.
    • 3.00 Credits

      Students will attend 401 classes with supplementary assignments and/or class meetings.(RE) Prerequisite(s): 202.(RE) Corequisite(s): 405.Registration Permission: Consent of instructor.
    • 3.00 Credits

      Students will attend 406 classes, with supplementary assignments and/or class meetings.Contact Hour Distribution: 2 hours lecture and 1 lab.(RE) Prerequisite(s): 200 or Statistics 251.(RE) Corequisite(s): 310 or 317.Recommended Background: Completion of 202 and an introductory course in probability and statistics.Registration Permission: Consent of instructor.
    • 3.00 Credits

      Systems engineering approach to analysis and design of systems of information. Topics ― system development life cycle, system analysis methodologies, data analysis techniques, system design, joint application design, and rapid application design. Lab introduces analysis and design software tools.Recommended Background: Completion of an introductory course in probability and statistics.Registration Restriction(s): Industrial engineering major; minimum student level ― senior.
    • 2.00 Credits

      Current real-world problems will be drawn from local production and service organizations and presented by personnel from these organizations. Senior industrial engineering student teams will solve these real-world problems under the guidance of their instructor using industrial engineering methodology. These problems emphasize problem definitions, analysis, and presentation with considerations for engineering standards and realistic economic, environmental, ethical, safety, social, political, and other pertinent constraints.Satisfies General Education Requirement: (OC)(WC)(RE) Prerequisite(s):404 and English 102 or 118.