Course Name Code Semester T+U Hours Credit ECTS
Queueing Theory BSM 445 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 ABDULLAH SEVİN
Course Lecturers
Course Assistants
Course Category
Course Objective In computer and Information systems, queues occur in front of almost all systems and components such as CPUs, disks, keys, links, and servers. The goal of this course is to help Computer Engineering students to understand the effects of design decisions of response time on various sources and buffering. Most of the techniques here are simple techniques for quick analysis.
Course Content Basic queuing theory concepts and notations (M/M/1 and M/M/s models), single queue analysis, queuing networks, operational laws, mean value analysis and related techniques.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Students gains adequate queuing theory knowledge in his/her field, Lecture, Question-Answer, Discussion, Testing, Homework,
2 Understands and analyzes standard queuing systems, Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 Models and analyzes non-standard queuing systems, Lecture, Question-Answer, Discussion, Group Study, Testing, Homework,
4 Understands and analyzes queuing networks, Lecture, Question-Answer, Discussion, Group Study, Testing, Homework,
5 Applies observed data to operational laws. Lecture, Question-Answer, Group Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Queuing Tehory
2 Probability concepts used in queuing theory
3 Basic queuing concepts and notations
4 Queuing rules and random processes
5 Markov, birth-death and Poisson processes
6 Single queue analysis (M/M/1)
7 Single queue analysis (M/M/m)
8 Single queue analysis (M/M/m/B and others)
9 Queuing networks (open networks)
10 Queuing networks (open networks) cont.
11 Queuing networks (closed networks)
12 Operational laws (utilization, forced flow, bottleneck devices, transition probabilities)
13 Operational laws (little law, generalized response law)
14 Summary
Course Notes Lecture Notes Ferhat Dikbıyık
Course Resources A First Course in Probability, 6th Ed., S. M. Ross, Prentice-Hall, 2002.
Raj Jain, " The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling," Wiley-Interscience, New York, NY, April 1991, ISBN:0471503363
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently,
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods,
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies,
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language,
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology,
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 16
2. Ödev 16
3. Ödev 18
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
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 10 10
Final examination 1 20 20
Total Workload 126
Total Workload / 25 (Hours) 5.04
dersAKTSKredisi 5