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
  • Network Optimization and Algorithms
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM326 - Network Optimization and Algorithms
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR BANU İÇMEN ERDEM
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 Operations Research, applications and algorithms, Winston
Assessment methods and criteria 1 Midterm exam, 1 Final exam, 1 course project and 1 Homework
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to network models and graphics
Week - 2 Introduction to Gurobi and some applications
Week - 3 Shortest path problem and applications, algorithms for SPP
Week - 4 Maximum flow problem and its applications, other algorithms for maximum flow problem
Week - 5 Max Flow-Min Cut theorem and Ford Fulkerson algorithm
Week - 6 Max Flow-Min Cut theorem and Ford Fulkerson algorithm
Week - 7 Minimum cost network flow problem and its applications
Week - 8 Optimality conditions and basic algorithms, other algorithms for solving minimum cost network flow problems
Week - 9 Assignment and matching problems
Week - 10 Minimum spanning tree problem
Week - 11 Traveling salesman problems and their types
Week - 12 Project Management
Week - 13 Network simplex algorithm
Week - 14 Presentations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Field Trip
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Role Playing/Dramatization
  • Competences
  • True to core values
  • Questoning
  • Creative
  • Civic awareness
  • Environmental awareness
  • Effective use of a foreign language
  • Adapt to different situations and social roles

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Quiz 1 10
Project 1 20
Final Exam 1 40
Toplam (%) 100
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