Course Name Code Semester T+U Hours Credit ECTS
Queueing Theory ENM 475 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi NEVRA AKBİLEK
Course Lecturers
Course Assistants
Course Category
Course Objective To make student familiar with advantages and usage of queueing theory techniques to solve waiting-line problems
Course Content Aim of the course is to teach the characteristics of waiting lines , notations and characteristics of waiting lines, the role of the exponential distribution (M/M/1 and M/M/s models), queueing models involving non-exponential distribution, priority-discipline queueing models, queueing networks, practice of queueing theory.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 How to analysis waiting-line systems Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Oral Exam,
2 How to use queueing notation Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 How to model queueing systems Lecture, Question-Answer, Discussion, Motivations to Show, Group Study, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
4 How to simulate queueing systems Lecture, Question-Answer, Discussion, Group Study, Simulation, Case Study, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
5 How to write matlab code for mathematical model of system Lecture, Discussion, Motivations to Show, Group Study, Case Study, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
6 How to compare mathematical and simulation model of queueing system Lecture, Question-Answer, Discussion, Group Study, Case Study, Problem Solving, Project Based Learning, Testing, Homework, Project / Design,
7 How to evaluate the results
Week Course Topics Preliminary Preparation
1 Characteristics of a Queueing Model
2 Notation and Capacity of a Queueing Model
3 Queueing Model with Exponential Service Time (M/M/1)
4 Queueing Model with Exponential Service Time (M/M/s)
5 Queueing Model Involving Nonexponential Distributions(M/G/1 ve M/D/1)
6 Variation Role in Queueing Theory
7 M/M/s System with Limited Customer Population
8 Serial and Network Queueing System
9 Infinite server queueing models
10 Exploring the Psychology of Queueing and The Effect of The Other Factors
11 Queueing Theory Applications in Literature
12 Evaluation of Current Literatüre Applications and Simulation of Queueing Systems
13 Modelling a Real Problem with Queueing Theory
14 Evaluation of the Suggested Queueing Models
Resources
Course Notes
Course Resources [1] Introduction to Probability, Sheldon Ross.
[2] Introduction to Operation Research, Hillier Liberman.
[3] Queueing Systems, Leonard Kleinrock, Richard Gail.
[4] http://www.win.tue.nl/~iadan/queueing.pdf
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.
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. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
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 X
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 X
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
9 Engineering graduates with well-structured responsibilities in profession and ethics X
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.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
1. Ödev 15
1. Proje / Tasarım 25
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 2 2
Quiz 1 2 2
Assignment 1 4 4
Project / Design 1 4 4
Final examination 1 25 25
Total Workload 133
Total Workload / 25 (Hours) 5.32
dersAKTSKredisi 5