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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 511LINEAR PROGRAMMING3 + 01st Semester6

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The purpose of this course, graduate students in mind and will appeal to students of advanced raised to make. As the main vehicle for this, numerical examples demonstrate the basic ideas of methods and models are able to use the
Course Content Definition of Linear Programming, Aim of Linear Programming and model construction, Decision Theory, Linear programming solution methods, Graphic method, Simplex method and applications, Duality, Cutting Algorithms with Sensitivity analysis, Transportation models and solution methods
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Linear programming and define the basic concepts, assumptions and strategies with
2Linear programming strategies, the impact of it on business efficiency can announce
3Scarce resources can provide an optimal
4Linear programming can help organize work in the factory
5Based on calculations and planning processes, based on the analysis of the business

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05
LO 00155555
LO 00244444
LO 00355555
LO 00455555
LO 00544444
Sub Total2323232323
Contribution55555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13565
Hours for off-the-classroom study (Pre-study, practice)13226
Mid-terms13452
Final examination11313
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes