Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Industrial Engineering
  • Course Structure Diagram with Credits
  • Linear Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM203 - Linear Programming
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 2+2
ECTS 5.5
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR BANU İÇMEN ERDEM, DOÇENT ZEHRA KAMIŞLI ÖZTÜRK
Mode of Delivery Face to face
Prerequisites Linear Algebra
Courses Recomended -
Recommended Reading List
Assessment methods and criteria 2 Midterm, 2 Quizes, 4 Homeworks, 1 Final Examination
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Operations Research Methodology, Basic concepts of Linear Programming
Week - 2 Formulating linear decision model, Graphical Solution, Solution techniques in LP, Assumptions of LP
Week - 3 Modeling examples with LP
Week - 4 Solving LP models with softwares (Excel and GAMS)
Week - 5 Introdcution to Simplex Algorithm, Linear Indepencendcy, Basic Solution, Relationship between Basic Feasible Solution and Extreme Point, The algebra of the Simplex Method.
Week - 6 The Simplex Method in tabular form
Week - 7 Big M Method, Two-phased Simplex Algoritm
Week - 8 Foundations of the Simplex Method
Week - 9 Revised Simplex Method
Week - 10 Duality
Week - 11 Primal-Dual relationships
Week - 12 Sensitivity analyses according to changes in model parameters
Week - 13 Sensitivity analyses according to changes in model parameters
Week - 14 The Dual Simplex Method

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Eleştirel düşünebilme
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Quiz 1 15
Homework 1 15
Final Exam 1 40
Toplam (%) 100
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