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Linear Programming 000 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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10890 | |
Enrollment Capacity:
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48 |
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Section:
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000 |
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Enrollment Total:
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9 |
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Credits:
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3.00 credits
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Seats Available:
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39 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN WITH RESERVES |
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Days, Time:
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T R , 2:20 PM - 3:35 PM |
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Remote |
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| Location: |
Remote |
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| Reserve Capacities |
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| Description |
Enrollment Capacity |
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| Force Reg: Seats Reserved |
48 |
1 |
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| Course Description |
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| This course will be an intensive study of Linear Programming (LP). LP deals with the problem of minimizing or maximizing a linear function in the presence of linear equality and/or inequality constraints. Both the general theory and characteristics of LP optimization problems as well as effective solution algorithms and applications will be addressed. The course is a good one for students who are planning to apply Operations Research (OR) tools in all areas of application in the public and private sectors including production or manufacturing problems and service/logistics related problems as well as to learn an optimization software tool called OPL/CPLEX. This course is part of the core for the MS and PhD degrees concentrating in OR; therefore comprehension of the underlying mathematical theory/why things work is emphasized. |
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| Instructor(s) |
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Karwan |
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| On-line Resources |
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| Other Courses Taught By: Karwan |
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