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    • 3.00 Credits

      Accident causation, losses, and investigative techniques. Role of human, task/machine, and environment in accident prevention. Safety standards, codes, and laws. Product liability, design, evaluation, and management of safety organizations and programs. Hazard recognition, analysis, control and risk assessment, systems safety and related techniques.Registration Restriction(s): Minimum student level ― junior.
    • 3.00 Credits

      Introduces an engineering based framework to implement process and system improvements within both the manufacturing and service enterprises. The students will be introduced to the basic concepts of lean systems including facility design and six sigma. The focus of the course will be to enable students to design complex processes and systems based on the physical system and the associated information system. Activities will include case studies, industry based projects, and the preparation of engineering reports.(RE) Corequisite(s): 406 or 408.Recommended Background: 350, 401 (or 407), and completion of an introductory course in probability and statistics.
    • 3.00 Credits

      Students will attend 421 classes with supplementary assignments and/or class meetings. Recommended Background: Completion of 202 and an introductory course in probability and statistics. Registration Restriction(s): Industrial engineering major; minimum student level – junior. Registration Permission: Consent of instructor.
    • 3.00 Credits

      An overview of supply chain engineering with topics including: building a strategic framework to analyze supply chains, designing the supply chain network, planning demand and supply, planning and managing inventories, sourcing, transporting, and pricing products, and coordination and technology in the supply chain. (RE) Corequisite(s): 405.
    • 1.00 Credits

      Students complete a self-directed leadership project. 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 2 hours.Registration Restriction(s): Industrial engineering major; minimum student level – senior. Registration Permission: Consent of instructor.
    • 3.00 Credits

      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 organizational and project management. Lectures will be based on the Project Management Body of knowledge (PMBOK) and will qualify students to take the CAPM/PMP certification exam at the end of their Senior year. Each student will develop a project plan including Project Charter, scope management, Communication plan, with an oral project review presentation.Registration Restriction(s): minimum student level – junior.
    • 3.00 Credits

      Technology and innovation, technology transfer, and patent protection. Legal formation and intellectual property, knowledge management, generation, and transmission. Creating a business plan and a marketing plan, launching a technology- based business. Sources of capital, small business growth and operation. (See Mechanical Engineering 457.)Registration Permission: Consent of instructor.
    • 3.00 Credits

      An introduction to applied data science including machine learning and data mining tools. Topics include supervised and unsupervised algorithms, techniques for improving model performance, evaluation techniques and software packages for implementation. Emphasis will be put on real-world applications in various domains including healthcare, transportation systems, etc. (RE) Prerequisite(s): COSC 102 or COSC 111.(DE) Prerequisite(s): IE 200 (or equivalent).
    • 3.00 Credits

      Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties.(Same as Chemical and Biomolecular Engineering 483; Materials Science and Engineering 483; Mechanical Engineering 483; Nuclear Engineering 483.)(RE) Prerequisite(s): 200 or Statistics 251.
    • 3.00 Credits

      Principles of maintenance and reliability engineering, and maintenance management. Topics include information extraction from machinery measurements, rotating machinery diagnostics, nondestructive testing, life prediction, failure models, lubrication oil analysis, establishing a predictive maintenance program, and computerized maintenance management systems.(Same as Chemical and Biomolecular Engineering 484; Materials Science and Engineering 484; Mechanical Engineering 484; Nuclear Engineering 484.)(RE) Prerequisite(s): 200 or Statistics 251.Registration Permission: Consent of instructor.