- Course Code
- END306
- Semester
- Fifth Term (Fall)
- Theory+Practice
- 3 + 1
- ECTS
- 5
| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 3 |
|---|
| Semester | Fifth Term (Fall) |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Have the knowledge about stochastic modelling and estimation techniques.
- Have the ability to select the appropriate technique on the investigation and designation of waiting lines in production and service systems.
- Have the ability to select the proper method to estimate parameters used in solving problems.
- Have the ability to apply the appropriate technique in the planning and control of service systems.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Concept of stochastic process, queuing systems and waiting line models. Markov processes and Markov chains. Stochastic programming |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Review Probability, Poisson and Exponential Distribution, Random Processes and Classification |
|
2nd Week |
Queuing Systems and Modeling Arrival and Service Processes |
|
3rd Week |
Birth and Death Processes |
|
4th Week |
M/M/l Queuing Model |
|
5th Week |
M/M/s Queuing Models |
|
6th Week |
Finite Source Models and Exponential Queues in Series and Open Queuing Networks |
|
7th Week |
Priority Queuing Models |
|
8th Week |
Midterm |
|
9th Week |
Markov Chains and Classification of States in a Markov Chain |
|
10th Week |
Steady State Probabilities, Mean First Passage Time |
|
11th Week |
Absorbing Chains |
|
12th Week |
Forecasting, Qualitative Fore Casting |
|
13th Week |
Mathematical Models for Time Series analysis |
|
14th Week |
Planning and Control in Service Systems |
|
| Recommended or Required Reading | 1. Winston W. L. Operations Research, Applications, and Algorithms, 2004, Dixbury Press
2. Ross S. Introduction to poprobability models, 1993
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Practice
- Questions/Answers
- Problem Solving
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Assignment |
2 |
10 |
| Quiz |
4 |
15 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
4 |
2 |
8 |
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
15 |
15 |
| Course hours |
14 |
4 |
56 |
| Preparation for Midterm exam |
1 |
15 |
15 |
| Laboratory (including preparation) |
5 |
2 |
10 |
| Final exam |
1 |
2 |
2 |
| Homework |
3 |
2 |
6 |
| Total Work Load | 142 |
| Total Work Load / 30 (h) | 4.73 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
Programme Qualifications / Learning Outcomes
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LO1 |
LO2 |
LO3 |
LO4 |
| K1 |
X |
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X |
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| K2 |
X |
X |
X |
X |
| K3 |
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X |
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X |
| K4 |
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X |
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| K5 |
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| K6 |
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| K7 |
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| K8 |
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| K9 |
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| K10 |
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| K11 |
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