Course Name Code Semester T+U Hours Credit ECTS
Operations Research II ENM 311 5 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi HALİL İBRAHİM DEMİR
Course Lecturers Prof.Dr. HARUN REŞİT YAZĞAN, Doç.Dr. ÖZER UYGUN, Dr.Öğr.Üyesi HALİL İBRAHİM DEMİR,
Course Assistants Res.Asst.. Sena Kır, Res.Asst.Dr. Alper Kiraz, Res.Asst.Murat Sarı
Course Category
Course Objective Introducing stochastic processes, queuing theory, network models, dynamic programming and inventory models in Operations Research (OR) to the students of Industrial Engineering, and training the students for the skill of implementing the methods.
Course Content Stochastic mathematical models and processes, discrete state and discrete time stochastic processes. Markov chains, Steady states, Interpretation of steady state analysis, Average first passage times. Absorbing Markov chains. Queuing Theory. Network Models, PERT, CPM. Dynamic Programming. Inventory Models.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understanding the concept of stochastic processes and Markov chains. Lecture, Question-Answer, Testing, Oral Exam,
2 Understanding continuous markov chains, and implementing in problem solving Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 Understanding queuing theory and implementing in problem solving Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework,
4 Understanding and implementing inventory models Lecture, Question-Answer, Drilland Practice, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Markov Chains, Transition Probabilities, n-step Transition Probabilities
2 Markov Chains and some examples
3 Classification of States, Steady States
4 Average First Passage Times, Absorbing Markov Chains
5 Markov Chain Examples
6 Queuing Theory-1
7 Queuing Theory-2
8 Queuing Theory-Application
9 Mid Term Exam
10 Network Models-1
11 Network Models-2—CPM
12 Network Models-2—PERT
13 Inventory Models-1
14 Inventory Models-2
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 15
2. Kısa Sınav 15
1. Ödev 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 3 3
Quiz 2 1 2
Assignment 1 3 3
Performance Task (Laboratory) 1 10 10
Final examination 1 10 10
Total Workload 124
Total Workload / 25 (Hours) 4.96
dersAKTSKredisi 5