| Course Type | Elective Course |
|---|
| Course Level | Master's Degree Without Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- To solves problems in the field of Energy Systems Engineering by using the acquired knowledge of mathematics, science and engineering
- Using data to complete the necessary information with scientific methods.
- Designs theoretical and applied researches related to the field by developing original ideas and methods.
- Develops and applies innovative methods to solve problems related to Energy Systems Engineering by following scientific studies in the field.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction Simulation, System and Model, Sample Systems |
|
2nd Week |
Types of simulation, Advantages and disadvantages of simulation, Usage areas |
|
3rd Week |
Monte Carlo Simulation and Application with Computer Program |
|
4th Week |
Basic Probability and Statistical Review Random variables, variance and correlation, confidence interval and hypothesis testing. |
|
5th Week |
Discrete Event Simulation Definitions, discrete event simulation steps and other simulation types, manual simulation, simulation of a serviced queuing system |
|
6th Week |
Simulation Software (ARENA): General Concepts |
|
7th Week |
ARENA blocks |
|
8th Week |
ARENA blocks |
|
9th Week |
Input probability distribution selection |
|
10th Week |
Random Number and Variable Generators |
|
11th Week |
Output Analysis |
|
12th Week |
Comparison of Alternative Systems and Variance Reduction Techniques |
|
13th Week |
Project Presentations |
|
14th Week |
Project Presentations |
|
15th Week |
|
|
| Recommended or Required Reading | 1. Law, A.M., Kelton, W.D., (2000), Simulation Modelling and Analysis, McGraw Hill Inc.
2. Pegden, C.D., Shannon, R.E., and Sadowski, R.P., (1995), Introduction to Simulation Using SIMAN, McGraw Hill Inc.
3. Banks, J., Carson, J.S., (2000), Discrete Event System Simulation, PrenticeHall
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Project
- Problem Solving
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
35 |
| Assignment |
1 |
5 |
| Quiz |
1 |
10 |
| Project |
1 |
10 |
| 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 |
3 |
3 |
| Preparation for Quiz |
14 |
3 |
42 |
| Individual or group work |
14 |
3 |
42 |
| Preparation for Final exam |
7 |
3 |
21 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
7 |
3 |
21 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
3 |
3 |
| Homework |
6 |
5 |
30 |
| Presentation (including preperation) |
1 |
6 |
6 |
| Project |
1 |
42 |
42 |
| Quiz |
6 |
0.5 |
3 |
| Term Project Research |
1 |
56 |
56 |
| Total Work Load | 311 |
| Total Work Load / 30 (h) | 10.36 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
