| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- A good knowledge about stochastic models
- An ability to select appropriate technique to analyze waiting lines in production and service systems
- An ability to select appropriate technique to estimate parameters used in solving problems
- An ability to apply appropriate technique in planning and control of production and service systems
|
| Mode of Delivery | Face to face |
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| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | An introduction of queuing systems and their basic properties.The properties of queuing systems, the analysis of birth and death processes. The properties of queuing systems, the analysis of birth and death processes.Single and multi-server queuing models which is markov with and markov is not enabled (M/M/1, M/M/c, G/M/c, M/G/1).Steady-state analysis.
The optimal control of queues. Queuing networks.Queuing theory applications in manufacturing and computer systems. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
An introduction of queuing systems and their basic properties. |
|
2nd Week |
The properties of queuing systems, the analysis of birth and death processes. |
|
3rd Week |
The properties of queuing systems, the analysis of birth and death processes. |
|
4th Week |
Single and multi-server queuing models which is markov with and markov is not enabled (M/M/1, M/M/c, G/M/c, M/G/1). |
|
5th Week |
Single and multi-server queuing models which is markov with and markov is not enabled (M/M/1, M/M/c, G/M/c, M/G/1). |
|
6th Week |
Single and multi-server queuing models which is markov with and markov is not enabled (M/M/1, M/M/c, G/M/c, M/G/1). |
|
7th Week |
Steady-state analysis. |
|
8th Week |
MIDTERM |
|
9th Week |
The optimal control of queues. |
|
10th Week |
The optimal control of queues. |
|
11th Week |
Queuing networks. |
|
12th Week |
Queuing networks. |
|
13th Week |
Queuing theory applications in manufacturing and computer systems. |
|
14th Week |
Student Projects |
|
| Recommended or Required Reading | D. Gross, "Fundamentals of Queueing Theory", 4th edition, Wiley, 2008. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Case Study
- Problem Solving
- Project
- Report Preparation
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
20 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
14 |
196 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
14 |
14 |
| Total Work Load | 306 |
| Total Work Load / 30 (h) | 10.2 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
