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Admission to the program requires a baccalaureate degree and a strong background in applied mathematics including calculus and linear algebra.
M.S. students should have 3 semester credits each in introductory statistics and introductory operations research and demonstrable microcomputer proficiency. Otherwise, appropriate remedial courses will be required.
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Operations Research Core Courses
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Additional Operations Research Courses
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One core course must be taken in each of the three areas: |
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Continuous Optimization
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IMSE 881 - Linear Programming
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IMSE 892 - Nonlinear Programming
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Discrete Optimization
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IMSE 882 - Network Flows and Graph Theory
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IMSE 884 - Integer Programming and Combinatorial Optimization
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Stochastic Processes
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IMSE 842 - Reliability Theory
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IMSE 971 - Industrial Queuing Processes
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Additional Operations Research courses include the following courses and any core courses:
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IMSE 643 - Industrial Simulation
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IMSE 780 - Methods of Operations Research
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IMSE 830 - Applied Fuzzy Set Theory
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IMSE 751 - Applied Decision Theory
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IMSE 865 - Simulation of Industrial Management Systems
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IMSE 990 - Adv Topics in Operations Research
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IMSE 976 - Scheduling Theory
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IMSE 983 - Dynamic Programming
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IMSE 990 - Adv Topics in Operations Research
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IMSE 991 - Multiple Criteria Decision Making
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Actual degree requirements will be summarized on an approved plan of study. Some general guidelines include: |
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At least 60 percent of classes must be above 700 level |
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No more than 6 hours can be taken from outside the department without prior permission |
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Courses in IMSE the department must be above the 600 level |
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Courses outside the department must be above the 500 level |
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No more than 6 hours can be taken at the 500 level. |
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No course can count as both a core course and an additional operations research course |
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Students on-campus are required to enroll in the graduate seminar each semester |
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