- Course Code
- END320
- Semester
- Sixth Term (Spring)
- Theory+Practice
- 3 + 1
- ECTS
- 7
| Course Type | Compulsory Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | 3 |
|---|
| Semester | Sixth Term (Spring) |
|---|
| ECTS | 7 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Gain an ability to design a system, component, or process to meet desired needs within realistic
- Gain an ability to design and conduct experiments, as well as to analyze and interpret data
- Gain an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
- Gain an ability to identify, formulate, and solve engineering problems
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | Yes(END214) |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Simulation concept. Modeling and analysis of a system with simulation technique. Application areas of simulation as a decision tool. Simulation models. Discrete event simulation. Modeling of service and production systems usign simulation language. Selecting input probability distribution. Output analysis. |
|---|
| 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 |
A review of statistics for input and output analysis |
|
7th Week |
Input distribution selection |
|
8th Week |
Random number and variate generation and their generators |
|
9th Week |
Midterm |
|
10th Week |
Random variate generators |
|
11th Week |
Validation and verification |
|
12th Week |
Validation and verification |
|
13th Week |
Output analysis |
|
14th Week |
Output analysis |
|
| Recommended or Required Reading | Law, A.M., Kelton, W.D., 2000, Simulation Modelling and Analysis, McGraw Hill Inc.,
Banks, J., Carson, J.S., 2000, Discrete Event System Simulation, Prentice Hall.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Practice
- Problem Solving
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
25 |
| Assignment |
7 |
15 |
| Quiz |
4 |
15 |
| Project |
1 |
15 |
| Attendance |
1 |
5 |
| Total(%) |
|
75 |
| Contribution of In-term Studies to Overall Grade(%) |
|
75 |
| Contribution of Final Examination to Overall Grade(%) |
|
25 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
4 |
4 |
16 |
| Individual or group work |
14 |
4 |
56 |
| Preparation for Final exam |
1 |
20 |
20 |
| Course hours |
14 |
4 |
56 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
8 |
3 |
24 |
| Total Work Load | 196 |
| Total Work Load / 30 (h) | 6.53 |
| ECTS Credit of the Course | 7 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
Programme Qualifications / Learning Outcomes
|
LO1 |
LO2 |
LO3 |
LO4 |
| K1 |
X |
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|
X |
| K2 |
|
X |
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X |
| K3 |
X |
X |
X |
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| K4 |
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|
X |
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| K5 |
|
X |
|
X |
| K6 |
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|
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| K7 |
|
|
|
|
| K8 |
|
|
|
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| K9 |
|
|
|
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| K10 |
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| K11 |
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