Mathematical Programming
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Overview
Description
This course deals with the theory and application of mathematical programming models to various business problems. We focus on advanced topics in linear and network programming. These include the revised simplex method, duality, sensitivity analysis, large-scale solution methodology, interior point methods, and recent algorithmic developments. Issues and current approaches to the solution methodology for large-scale integer programming models will be discussed. A survey of nonlinear programming methods, including quadratic programming and convex programming will be presented. Students will have the opportunity to develop models and solve them on the computer.
Career
Graduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
35
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3