Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
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    • English English
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
  • Graduate School of Sciences
  • Department of Industrial Engineering
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Thesis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM890 - Thesis
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 0+1
ECTS 30.0
Course Instructor(s) DOÇENT DOKTOR HALUK YAPICIOĞLU, DOÇENT DOKTOR EMRE ÇİMEN, PROFESÖR GÜRKAN ÖZTÜRK, PROFESÖR NİHAL ERGİNEL, PROFESÖR DOKTOR ONUR KAYA, DOÇENT ZEHRA KAMIŞLI ÖZTÜRK
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 Gasimov, R.N., Ustun, O., “Solving The Quadratic Assignment Problem Using F-MSG Algorithm”, Burachik, R.S., Gasimov, R. N., Ismayilova, N. A., Kaya, C. Y., “On a Modified Subgradient Algorithm for Dual Problems via Sharp Augmented Lagrangian”, Journal of Global Optimization, Vol. 34, pp. Gasimov, R.N. and Ismayilova, N.A., “The Modified Subgradient Method for Equality Constrained Nonconvex Optimization Problems”, Optimization and Control with Applications, Ed. L. Qi, K. Teo, X. Yang, Series: Applied Optimization, Vol. 96, 257-270, Springer, Berlin Heidelberg New York, ISBN: 0-387-24254-6, (2005).Gasimov, R. N., Rubinov, A. M., “On Augmented Lagrangians for Optimization Problems with a Single Constraint”, Journal of Global Optimization, 28, 153-173 (2004).
Assessment methods and criteria Final presentation (0)
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Application of thesis
Week - 2 Application of thesis
Week - 3 Application of thesis
Week - 4 Literature review
Week - 5 Application of thesis
Week - 6 Application of thesis
Week - 7 Application of thesis
Week - 8 Application of thesis
Week - 9 Application of thesis
Week - 10 Application of thesis
Week - 11 Application of thesis
Week - 12 Preparing the report
Week - 13 Preparing the report
Week - 14 Presentation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Field Trip
  • Experiment
  • Drill - Practise
  • Case Study
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • True to core values
  • Creative
  • Follow ethical and moral rules
  • Environmental awareness
  • Adapt to different situations and social roles

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
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  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
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  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
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