Rapor Tarihi: 13.04.2026 03:07
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Probability | ENM215 | Turkish | Compulsory | 3. Semester | 3 + 0 | 3.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | formal education |
| Course Coordinator | Dr. Öğr. Üyesi Mustafa İsa DOĞAN |
| Instructor(s) | Dr. Öğr. Üyesi Mustafa İsa DOĞAN (Güz) |
| Goals | The objective of this course is to understand probability theory, to apply probability theory to both simple and complex probability calculations, and to gain a mathematical understanding of the fundamentals of probability distributions. |
| Course Content | probability distributions, random variable, conditional probability, expected value, central limit theorem |
| # | Öğrenme Kazanımı |
| 1 | They gain the ability to analyze IE problems that involve uncertainties. |
| 2 | They gain the ability to build appropriate models for IE problems that involve uncertainties. |
| 3 | They gain the necessary foundation for making statistical decisions. |
| 4 | They gain a basic understanding of data analysis. |
| 5 | Students gain the ability to perform calculations for statistical models and interpret graphs. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to Probability | Interview, Presentation (Preparation) |
| 2. Week | Probability theory, definition and axioms | Interview, Presentation (Preparation) |
| 3. Week | Conditional probability | Interview, Presentation (Preparation), Practice |
| 4. Week | Independent Events | Interview, Presentation (Preparation), Practice |
| 5. Week | Random Variables | Interview, Presentation (Preparation), Practice |
| 6. Week | Expected value and moment function | Interview, Presentation (Preparation), Practice |
| 7. Week | Some important discrete random variables | Interview, Presentation (Preparation), Practice |
| 8. Week | distributions | Interview, Presentation (Preparation), Practice |
| 9. Week | Probability distributions | Interview, Presentation (Preparation), Practice |
| 10. Week | Conditional expected value | Interview, Presentation (Preparation), Practice |
| 11. Week | Normal distribution and Central Limit Theorem | |
| 12. Week | Normal distribution and Central Limit Theorem | Interview, Presentation (Preparation), Practice |
| 13. Week | Sampling Distributions | Interview, Presentation (Preparation), Practice |
| 14. Week | estimators and their properties | Interview, Presentation (Preparation), 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 | ✔ | |||||
| 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 | 5 | 5 | 5 | 5 | 5 |
| PY5 | 4 | 4 | 4 | 4 | 4 |
| PY6 | 5 | 5 | 5 | 5 | 5 |
| PY7 | 5 | 5 | 5 | 5 | 5 |
| PY8 | 5 | 5 | 5 | 5 | 5 |
| PY9 | 4 | 4 | 4 | 4 | 4 |
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Dr. Öğr. Üyesi Mustafa İsa DOĞAN | Vize | 30.00 | |
| Dr. Öğr. Üyesi Mustafa İsa DOĞAN | Final | 70.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Midterm | 1 | 50 | 50 |
| Homework | 1 | 33 | 33 | |
| Final | 1 | 70 | 70 | |
| Total Workload | 153 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
