| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| System Analysis and Simulation | ENM305 | 5. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Classical presentation, slide show. |
| Course Coordinator |
Assoc. Prof. Dr. Melike ERDOĞAN ALTUNBEY |
| Instructor(s) |
Melike ERDOĞAN ALTUNBEY |
| Assistants | |
| Goals | To introduce the concept of system and the fundamentals of system analysis, how to create computer models of discrete systems and how to decide about model inputs using simulation models |
| Course Content | Definition of a system, techniques used in system analysis, basic discrete distributions, creating simulation models of the systems, preparation of simulation models with the help of computers, showing how the decision maker decides with the help of a simulation model. |
| Learning Outcomes |
- Student can analyze systems. - Student can collect input data. - The student acquires the statistical knowledge required for simulation. - The student can set up the simulation model of the system. - The student can simulate manually and with the help of computer software. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction to the Course, System Definition and Basic Concepts | Course Hours Verbal Expression Visual Presentation |
| 2. Week | Classification of Systems | Verbal Expression Visual Presentation Course Hours |
| 3. Week | Techniques used in system analysis | Visual Presentation Verbal Expression Course Hours |
| 4. Week | Generating Random Numbers and Random Variables, Analysis of Simulated Data, Goodness-of-Fit Tests | Course Hours Verbal Expression Visual Presentation |
| 5. Week | Verification and Validation of Simulation Models | Course Hours Verbal Expression Visual Presentation |
| 6. Week | Simulation Softwares and History of Simulation | Visual Presentation Course Hours Verbal Expression |
| 7. Week | ntroduction to ARENA Simulation Package Program | Course Hours Verbal Expression Visual Presentation |
| 8. Week | ARENA Modules and Input Analysis | Verbal Expression Course Hours Visual Presentation |
| 9. Week | Simulation Application with ARENA - Modeling of Basic Inputs and Processes | Course Hours Verbal Expression Practice |
| 10. Week | Simulation Application with ARENA - Modeling of Basic Inputs and Processes | Practice Verbal Expression Course Hours |
| 11. Week | Simulation Application with ARENA - Modeling of Detailed Operations | Verbal Expression Practice Course Hours |
| 12. Week | Simulation Application with ARENA - Modeling of Detailed Operations | Verbal Expression Practice Course Hours |
| 13. Week | Presentations of Student Projects | Verbal Expression Practice Course Hours |
| 14. Week | Presentations of Student Projects | Verbal Expression Course Hours Practice |
| Banks, J. (2005). Discrete event system simulation. Pearson Education India. |
| Kelton, W. D. (2002). Simulation with ARENA. McGraw-hill. |
| Rossetti, M. D. (2015). Simulation modeling and Arena. John Wiley & Sons. |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | Measurement Method |
|---|---|---|---|---|---|---|---|
| PY1 | 4 | 0 | 0 | 0 | 0 | 0 | - |
| PY2 | 2 | 0 | 0 | 0 | 0 | 0 | - |
| PY3 | 1 | 0 | 0 | 0 | 0 | 0 | - |
| PY4 | 3 | 0 | 0 | 0 | 0 | 0 | - |
| PY5 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY6 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY7 | 3 | 0 | 0 | 0 | 0 | 0 | - |
| PY8 | 5 | 0 | 0 | 0 | 0 | 0 | - |
| PY9 | 4 | 0 | 0 | 0 | 0 | 0 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Midterm 1 | 1 | 35 | 35 |
| Homework 1 | 1 | 26 | 26 |
| Final | 1 | 50 | 50 |
| Total Workload | 153 | ||
| ECTS Credit of the Course | 6.0 | ||
