| Course Type | Compulsory 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;
- Gain an ability to apply knowledge of mathematics, science, and engineering
- Gain an ability to design and conduct experiments, as well as to analyze and interpret data
- Gain an ability to design a system, component, or process to meet desired needs within realistic
- Gain an ability to function on multidisciplinary teams
- Gain an ability to identify, formulate, and solve engineering problems
- Gain an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Simulation method. Using simulation in forecasting, decision making and policy making. Data fitting and generating random variates. Simulation languages. Simulation modeling, output analysis. Some applications of manufacturing and service systems. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Simulation, system, model, types of simulation |
|
2nd Week |
Advantage and disadvantage of simulation, its application areas, Monte Carlo simulation |
|
3rd Week |
Discrete event simulation |
|
4th Week |
Modelling with SIMAN |
|
5th Week |
Modelling with SIMAN |
|
6th Week |
Modelling with SIMAN |
|
7th Week |
A review of statistics for input and output analysis |
|
8th Week |
Midterm |
|
9th Week |
Input distribution selection |
|
10th Week |
Random number and variate generation and their generators |
|
11th Week |
Random variate generators |
|
12th Week |
Validation and verification |
|
13th Week |
Validation and verification |
|
14th Week |
Output analysis |
|
| Recommended or Required Reading | Law, A.M., Kelton, W.D., Simulation Modelling and Analysis
Pegden, C.D., Shannon, R.E., and Sadowski, R.P. Introduction to Simulation Using SIMAN (2nd ed.),1995 |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Problem Solving
- Practice
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
30 |
| 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 |
|
|
|
| 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 |
|---|
