| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| System Analysis and Simulation | ENM305 | Turkish | Compulsory | 5. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Classical presentation, slide show. |
| Course Coordinator | Dr. Öğr. Üyesi MEMET MERHAD AY |
| Instructor(s) | Dr. Öğr. Üyesi MEMET MERHAD AY (Güz) |
| 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. |
| # | Öğrenme Kazanımı |
| 1 | Student can analyze systems. |
| 2 | Student can collect input data. |
| 3 | The student acquires the statistical knowledge required for simulation. |
| 4 | The student can set up the simulation model of the system. |
| 5 | The student can simulate manually and with the help of computer software. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to the Course, System Definition and Basic Concepts | Interview, Presentation (Preparation) |
| 2. Week | Classification of Systems | Interview, Presentation (Preparation) |
| 3. Week | Techniques used in system analysis | Interview, Presentation (Preparation) |
| 4. Week | Generating Random Numbers and Random Variables, Analysis of Simulated Data, Goodness-of-Fit Tests | Presentation (Preparation), Interview |
| 5. Week | Verification and Validation of Simulation Models | Presentation (Preparation), Interview |
| 6. Week | Simulation Softwares and History of Simulation | Presentation (Preparation), Interview |
| 7. Week | ntroduction to ARENA Simulation Package Program | Interview, Presentation (Preparation) |
| 8. Week | ARENA Modules and Input Analysis | Presentation (Preparation), Interview |
| 9. Week | Simulation Application with ARENA - Modeling of Basic Inputs and Processes | Practice, Interview |
| 10. Week | Simulation Application with ARENA - Modeling of Basic Inputs and Processes | Practice, Interview |
| 11. Week | Simulation Application with ARENA - Modeling of Detailed Operations | Practice, Interview |
| 12. Week | Simulation Application with ARENA - Modeling of Detailed Operations | Practice, Interview |
| 13. Week | Presentations of Student Projects | Practice, Interview |
| 14. Week | Presentations of Student Projects | Interview, Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have theoretical and / or practical knowledge in the field of mathematics, science, social sciences, engineering and / or industrial engineering, and the ability to use this knowledge to model and solve engineering problems | ✔ | |||||
| 2 | Gaining the ability to work actively in projects and projects aimed at professional development in both individual and multidisciplinary groups and taking responsibility in situations that may arise in this process | ✔ | |||||
| 3 | Knowledge of at least one foreign language at a level that will enable communication with colleagues in the field and follow current developments; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | ✔ | |||||
| 4 | To be individuals who are sensitive to universal and social values, have knowledge of professional and ethical responsibilities and standards used in engineering practices. | ✔ | |||||
| 5 | The ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. | ✔ | |||||
| 6 | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | ✔ | |||||
| 7 | Ability to select and use modern techniques and tools necessary for the identification, formulation, analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. | ✔ | |||||
| 8 | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | ✔ | |||||
| 9 | Knowledge of the universal and societal impacts of engineering practices on health, environment and safety, and contemporary issues reflected in the field of engineering; awareness of the legal consequences of engineering solutions, the necessity of lifelong learning and the ability to continuously renew oneself. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 |
|---|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 | 4 |
| PY2 | 2 | 2 | 2 | 2 | 2 |
| PY3 | 1 | 1 | 1 | 1 | 1 |
| PY4 | 3 | 3 | 3 | 3 | 3 |
| PY5 | 5 | 5 | 5 | 5 | 5 |
| PY6 | 5 | 5 | 5 | 5 | 5 |
| PY7 | 3 | 3 | 3 | 3 | 3 |
| PY8 | 5 | 5 | 5 | 5 | 5 |
| PY9 | 4 | 4 | 4 | 4 | 4 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Sınavlar |
Midterm 1 | 1 | 35 | 35 |
| Homework 1 | 1 | 26 | 26 | |
| Final | 1 | 50 | 50 | |
| Total Workload | 153 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
