| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics and Optimization | MEM387 | Turkish | Compulsory | 5. Semester | 2 + 0 | 2.0 | 3.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Prof. Dr. Gürcan SAMTAŞ |
| Instructor(s) | |
| Goals | • Utilize statistical tools to analyze and interpret sensor data. • Apply statistical distributions to model the behavior of mechatronic systems. • Optimize error estimation and decision-making processes in control systems. • Enhance the performance of mechatronic systems by optimizing design parameters. • Develop data-driven decision making and statistical thinking for engineering problem solving. |
| Course Content | This course introduces critical statistical and optimization techniques for solving problems frequently encountered in Mechatronics Engineering. We aim to equip students with the ability to utilize statistical methods for data analysis, modeling, and decision-making processes, as well as mathematical tools to optimize design and control problems. |
| # | Öğrenme Kazanımı |
| 1 | Calculate statistical properties of data acquired from sensors. |
| 2 | Employ statistical methods to analyze and filter noisy signals. |
| 3 | Utilize statistical distributions to model the dynamic behavior of mechatronic systems. |
| 4 | Perform error estimation and design decision rules in control systems. |
| 5 | Apply linear programming and other optimization techniques to optimize design parameters. |
| 6 | Interpret statistical results to evaluate and improve the performance of mechatronic systems. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction & Sensor Data | Interview Practice Other Activities Presentation (Preparation) Class Hours Preparation, After Class Study Research |
| 2. Week | Probability & Random Variables | Class Hours Practice Other Activities Presentation (Preparation) Research Preparation, After Class Study Interview |
| 3. Week | Statistical Distributions & Mechatronic Systems | Class Hours Practice Other Activities Presentation (Preparation) Research Preparation, After Class Study Interview |
| 4. Week | Error Estimation & Control Systems | Class Hours Practice Other Activities Presentation (Preparation) Research Preparation, After Class Study Interview |
| 5. Week | Linear Regression & Mechatronics Applications | Other Activities Presentation (Preparation) Research Preparation, After Class Study Class Hours Interview Practice |
| 6. Week | Linear Regression & Mechatronics Applications | Preparation, After Class Study Interview Class Hours Other Activities Presentation (Preparation) Research Practice |
| 7. Week | Linear Programming & Design Optimization | Class Hours Interview Practice Other Activities Presentation (Preparation) Research Preparation, After Class Study |
| 8. Week | Linear Programming & Design Optimization | Interview Practice Other Activities Presentation (Preparation) Class Hours Research Preparation, After Class Study |
| 9. Week | Other Optimization Techniques | |
| 10. Week | Other Optimization Techniques | |
| 11. Week | Sampling Methods & Mechatronics Applications | |
| 12. Week | Advanced Statistical Techniques for Mechatronics | Other Activities Research Presentation (Preparation) Preparation, After Class Study Class Hours Interview Practice |
| 13. Week | Optimization Algorithms & Mechatronics Applications | Other Activities Practice Presentation (Preparation) Research Preparation, After Class Study Class Hours Interview |
| 14. Week | Optimization Algorithms & Mechatronics Applications | Research Preparation, After Class Study Class Hours Practice Presentation (Preparation) Interview Other Activities |
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Midterm 1 | 50 | 1 | 50 |
| Final | 26.5 | 1 | 26.5 | |
| Total Workload | 76.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 3.0 | ||
