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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Program in Business Administration (English)
  3. Course Structure Diagram with Credits
  4. Linear Programming
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 07/11/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İST435 - Linear Programming VII. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) PROF. DR. CELAL HAKAN KAĞNICIOĞLU
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery On Campus
Used Educational Platforms Face-to-face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources *Taha, Hamdy A.(2000)Yöneylem araştırması / Hamdy A. Taha ; çeviren ve uyarlayanlar Ş. Alp Boray, Şakir Esnaf. – 1. bs. – İstanbul : Literatür. 
Work Placement N/A
Aims of the Course The objective is to transform complex decision-making problems from real life or business environments into mathematical models, solve them, and interpret the results.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 System and system approach, decision process and decision environment Lecture Discussion
Week - 2 Introduction to linear programming Lecture
Week - 3 Model formulation in linear programming Lecture Case Study
Week - 4 Graphical method for the solution of linear programming Lecture Case Study
Week - 5 Simplex method Lecture Case Study
Week - 6 Simplex M method Lecture Question & Answer Practice/Practical Work/Workshop
Week - 7 Examples of simplex method Practice/Practical Work/Workshop
Week - 8 Sensitivity analysis Lecture Practice/Practical Work/Workshop
Week - 9 Transportation methods Lecture
Week - 10 Examples of transportation methods Case Study Practice/Practical Work/Workshop
Week - 11 Assignment models Lecture
Week - 12 Network analysis Lecture Discussion
Week - 13 Inventory models Lecture
Week - 14 Game theory Lecture Case Study

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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