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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 Compulsory
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 05PO 06
LO 001435544
LO 002353544
LO 003553344
LO 004534455
LO 005555553
Sub Total222120222220
Contribution444444

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments21020
Mid-terms11212
Final examination12020
Presentation / Seminar Preparation21020
Total Work Load

ECTS Credit of the Course






156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2011-2012 Fall1İRFAN ERTUĞRUL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 511 LINEAR PROGRAMMING 3 + 0 1 Turkish 2011-2012 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. İRFAN ERTUĞRUL iertugrul@pau.edu.tr Course location is not specified. %
Goals 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
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
Topics
WeeksTopics
1 Introduction to Linear Programming
2 History of Linear Programming Basic Concepts and Applications of Linear Programming
3 Construction of the linear programming model
4 Construction of the linear programming model
5 Graphical solution of Linear Programming Problems
6 Graphical solution of Linear Programming Problems
7 The Simplex Algorithm
8 Midterm Exam
9 The Simplex Algorithm
10 Special Cases in Simplex Method Application
11 Special Cases in Simplex Method Application
12 Duality
13 Sensitivity Analysis
14 Sensitivity Analysis
Materials
Materials are not specified.
Resources
ResourcesResources Language
Ahmet Öztürk, Yöneylem Araştırması, Ekin Kitabevi: Bursa,12. BasımTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Midterm Exam30Midterm Exam
Project20Project
Final Exam50Final Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes