Course Search Results

• IE 8800: Adv Methods of Operations Res

  3.00 Credits

  Clemson University

  
  This course is intended for doctoral students. Methods and applications of advanced operations research techniques; discrete optimization, integer and mixed integer programming, Boolean minimization, network optimization, permutization methods on implicit enumeration. Preq: IE 8700 or consent of instructor.
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• IE 8810: Metaheuristics

  3.00 Credits

  Clemson University

  
  Survey of selected metaheuristic techniques. Topics may include genetic algorithms and other evolutionary algorithms, tabu search and simulated annealing. Students implement multiple metaheuristics from problems throughout the semester in a high-level language.
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• IE 8840: Adv Eng Econ Analy

  3.00 Credits

  Clemson University

  
  Engineering economic analysis for engineering research, development and construction projects emphasizing detailed treatment of tax effects, methods for determining discount rates, proper use of economic criteria in various decision environments (certainty vs. uncertainty, single vs. multiple project selections, etc.). Preq: Consent of instructor.
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• IE 8850: Optimization Under Uncertainty

  3.00 Credits

  Clemson University

  
  Introduction to stochastic programming, robust optimization and approximate dynamic programming. Preq: One course selected from IE 8030 or IE 8700 or MATH 8100; and one course selected from IE 8090 or IE 8780 or MATH 8000; or consent of instructor.
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• IE 8860: Advanced Scheduling

  3.00 Credits

  Clemson University

  
  Latest techniques in scientific inventory management, scheduling and forecasting; operations research; statistics; computer methods; case studies. Preq: IE 4860 or IE 6860.
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• IE 8870: Model Logist Behav Simulation

  3.00 Credits

  Clemson University

  
  Covers design and development of discrete event, system dynamics and agent-based models to explain behavior or improve performance. Environments addressed include process flow, social and behavioral systems. Advanced topics of study may include input and output analysis. Modeling concepts are motivated with real-world examples from representative fields. Preq: IE 4820 or IE 6820 or consent of instructor.
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• IE 8880: Advanced Probabilistic Methods

  3.00 Credits

  Clemson University

  
  This advanced course in stochastic processes is intended for doctoral students who have had some introductory level course(s) on the topic. The course covers detailed analysis of various stochastic processes common in industrial engineering applications, such as the Poisson process, renewal reward process, discrete-time and continuous-time Markov chains, and discrete-time Markov decision processes. Preq: IE 8780 or consent of instructor.
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• IE 8900: Spec Problems in I E

  1.00 Credits

  Clemson University

  
  Principles and methods of industrial engineering applied to analysis of a current interest problem. May be repeated for a maximum of six credits. Preq: Consent of instructor.
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• IE 8910: Master's Thesis Research

  1.00 Credits

  Clemson University

  
  Master's Thesis Research. Preq: Consent of instructor.
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• IE 8920: Masters Design Proj

  3.00 Credits

  Clemson University

  
  Design project in industrial systems; integration of industrial engineering principles and methodologies; resolution of contemporary systems design problems. Project requires research, development, implementation planning, reporting and project assessment. Preq: Consent of instructor.
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