| Course Name |
Queueing Systems
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 339
|
Fall/Spring
|
3
|
0
|
3
|
6
|
| Prerequisites |
|
|||||||
| Course Language |
English
|
|||||||
| Course Type |
Service Course
|
|||||||
| Course Level |
First Cycle
|
|||||||
| Mode of Delivery | - | |||||||
| Teaching Methods and Techniques of the Course | - | |||||||
| National Occupation Classification | - | |||||||
| Course Coordinator | - | |||||||
| Course Lecturer(s) | - | |||||||
| Assistant(s) | - | |||||||
| Course Objectives | The purpose of this course is to introduce students to a general framework for modeling queueing systems and to the basic methodologies used for their analysis. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | The purpose of this course is to introduce students to a general framework for modeling queueing systems and to the basic methodologies used for their analysis. Since queueing phenomenon is in general due to randomness, the course requires extensive use of probability theory. The course will encompass the stochastic processes necessary for analyzing queueing systems. At the end the course, the students are supposed to be acquainted with the available analytical models for queueing systems and to be able to use them for performance analysis of service and production systems. |
| Related Sustainable Development Goals |
|
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Related Preparation |
| 1 | Characteristics of Queueing Systems | Ch 1 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 2 | Performance Evaluation Concepts | Ch 1 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 3 | Poisson Process and Exponential Distribution | Ch 2 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 4 | Markov Chains | Ch 2 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 5 | Simple Markovian BirthDeath Queueing Models | Ch 3 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 6 | Simple Markovian BirthDeath Queueing Models | Ch 3 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 7 | Review and Midterm Exam | |
| 8 | Advanced Markovian Queueing Models | Ch 4 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 9 | Advanced Markovian Queueing Models | Ch 4 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 10 | Queueing Networks | Ch 5 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 11 | Queueing Networks | Ch 5 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 12 | General Distribution Models | Ch 6 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 13 | General Distribution Models | Ch 6 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 14 | Advanced Topics | Ch 7 D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| 15 | General review and evaluation | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | D. Gross, CM. Harris, Queueing Theory, Wiley, 2009. |
| Suggested Readings/Materials |
| Semester Activities | Number | Weigthing |
| Participation |
1
|
10
|
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
3
|
10
|
| Presentation / Jury | ||
| Project |
1
|
20
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
30
|
| Total |
| Weighting of Semester Activities on the Final Grade |
70
|
|
| Weighting of End-of-Semester Activities on the Final Grade |
30
|
|
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
4
|
60
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
3
|
7
|
21
|
| Presentation / Jury |
0
|
||
| Project |
1
|
20
|
20
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
8
|
8
|
| Final Exam |
1
|
13
|
13
|
| Total |
170
|
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
|||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems |
-
|
-
|
-
|
-
|
-
|
|
| 2 |
Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem. |
-
|
-
|
-
|
-
|
-
|
|
| 3 |
Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions. |
-
|
-
|
-
|
-
|
-
|
|
| 4 |
Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations |
-
|
-
|
-
|
-
|
-
|
|
| 5 |
Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems. |
-
|
-
|
-
|
-
|
-
|
|
| 6 |
Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions |
-
|
-
|
-
|
-
|
-
|
|
| 7 |
Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101) |
-
|
-
|
-
|
-
|
-
|
|
| 8 |
Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid). |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters. |
-
|
-
|
-
|
-
|
-
|
|
| 10 |
Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
-
|
-
|
-
|
-
|
-
|
|
| 11 |
Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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