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Viewing: EMSE 3701 : Operations Research Methods

Last approved: Tue, 09 May 2017 08:02:11 GMT

Last edit: Mon, 08 May 2017 00:22:02 GMT

Catalog Pages referencing this course
Programs referencing this course
School of Engineering and Applied Sciences
Engineering Management and Systems Engineering (EMSE)
EMSE
3701
Operations Research Methods
Operations Research Methods
Spring 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade
undergraduate students majoring in systems engineering or with the permission of the instructor
No
No
EMSE 2705
Corequisites

25
H. Abeledo
Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


Mathematical properties and solution algorithms of optimization models used in operations research; linear programming: the simplex method, sensitivity analysis and duality theory; optimization models on graphs and networks: shortest path, longest path, network flow models; integer programming and discrete optimization; unconstrained and constrained nonlinear programming.
Students completing this course should be able to (1) formulate complex optimization problems (2) Relate the theory of optimization in order to analyze and solve complex optimization problems (3)Interpret the solutions of complex optimization problems.
Uploaded a Course Syllabus

Course Attribute


riffat (Wed, 12 Apr 2017 16:01:11 GMT): Rollback: Please add Independent Learning Statement to syllabus, e.g. number of hrs of work expected outside of class.
Key: 2858