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 Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Operational Research
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST305 - Operational Research
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 6.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ALPER BEKKİ
Mode of Delivery The mode of delivery of this course is 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 Reading List
Assessment methods and criteria 2 Midterm Exam, 1 Final Exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Operational Research as a science field Linear Programming(L/P) and examples of L/P models
Week - 2 Different kinds of L/P problems and their equality; Basic consepts and qualities of solutions.
Week - 3 Criteria of optimum; Simplex algorithm for L/P problem which can be designated one base solution
Week - 4 Artificial base solution method.
Week - 5 Problems of dual L/P; Relations of primal and dual; Primal-Dual computations.
Week - 6 Problems of dual L/P; Relations of primal and dual; Primal-Dual computations. (continiou).
Week - 7 Dual Simplex method
Week - 8 Economic interpratation of Duality.
Week - 9 Transportation Models: Definition and Starting solution technics
Week - 10 Transportation Models: Optimum solution technics
Week - 11 The Assignment Model
Week - 12 Network Models: Minimum spanning tree problems; Shortest path problems;
Week - 13 Network Models: Maximum flow problems; PERT Analysis.
Week - 14 Integer L/P: Cutting Planes algorithm; The Branch-and-Bound Method

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Experiment
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • True to core values
  • Questoning
  • Creative
  • Effective use of Turkish
  • Environmental awareness
  • Adapt to different situations and social roles

Assessment Methods

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