Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Operations Research II ENM301 Turkish Compulsory 5. Semester 4 + 0 4.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Dr. Öğr. Üyesi Ahmet CİHAN
Instructor(s) Dr. Öğr. Üyesi Ahmet CİHAN (Güz)
Goals Students solve decision-making problems using linear goal programming, integer programming, and network models.
Course Content Techniques for linear goal programming, simplex method for linear goal programming, linear integer programming, linear binary(0-1) programming, linear mixed integer programming models, branch and bound methods for linear integer programming, cutting planes for linear integer programming, network models, shortest path problem, maximum flow problem and solution methods.
Learning Outcomes
# Öğrenme Kazanımı
1 To provide the mathematical solution to the problems encountered in the production and service sectors.
2 Able to solve goal programming models.
3 Able to solve network models.
4 Able to solve Integer Linear Programming models.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Goal programming and graphical solution of goal programming Presentation (Preparation), Lecture
2. Week Simplex method for goal programming Presentation (Preparation), Lecture
3. Week Network Models - Maximum flow problem Presentation (Preparation), Lecture
4. Week Network models - Minimum path problem Presentation (Preparation), Lecture
5. Week Network models - Maximum path problem Presentation (Preparation), Lecture
6. Week Network models - Minimum Spanning Tree Problem Presentation (Preparation), Lecture
7. Week Introduction to Integer programming and pure integer programming models Presentation (Preparation), Lecture
8. Week Gomory cutting planes in integer linear programming Presentation (Preparation), Lecture
9. Week Branch and bound algorithm for Integer Programming Presentation (Preparation), Lecture
10. Week Project presentations Project-Based Learning
11. Week Project presentations Project-Based Learning
12. Week Project presentations Project-Based Learning
13. Week Project presentations Project-Based Learning
14. Week Project presentations Project-Based Learning
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems
2 Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process
3 Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
4 To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices.
5 The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.
6 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
7 Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.
8 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
9 Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 5 5 0 0
PY2 3 3 0 0
PY3 1 1 0 0
PY4 4 4 0 0
PY5 5 5 0 0
PY6 5 5 0 0
PY7 5 5 0 0
PY8 3 3 0 0
PY9 2 2 0 0
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Operations Research - A. Hamdy TAHA
  • Operations Research, Aladağ Z. Umuttepe Publishing, 2016
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Dr. Öğr. Üyesi Ahmet CİHAN Vize 20.00
Dr. Öğr. Üyesi Ahmet CİHAN Ödev 40.00
Dr. Öğr. Üyesi Ahmet CİHAN Final 40.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 4 56
Sınavlar
Midterm 1 12 12
Homework 7 4 28
Final 1 18 18
Practice 14 2 28
Practice End-Of-Term 1 11 11
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0