| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics | ENM208 | 4. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | face to face in the classroom |
| Course Coordinator |
Assist. Prof. Dr. Mustafa İsa DOĞAN |
| Instructor(s) |
Mustafa İsa DOĞAN |
| Assistants | |
| Goals | To teach the basic statistical models required to collect, analyze and interpret the data, to provide the student with the ability to collect, present data, make decisions based on the data, solve problems, design products and processes. |
| Course Content | data science, sampling, estimation, hypothesis testing, regression analysis |
| Learning Outcomes |
- Understanding random events in production and service systems - Gaining the ability to statistically predict and improve product or system performance |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Sampling distributions | Verbal Expression Visual Presentation Practice Course Hours |
| 2. Week | Sampling distributions | Visual Presentation Practice Course Hours Verbal Expression |
| 3. Week | Data definitions | Practice Verbal Expression Visual Presentation Course Hours |
| 4. Week | estimation methods | Course Hours Verbal Expression Practice Visual Presentation |
| 5. Week | estimation methods | Course Hours Practice Verbal Expression Visual Presentation |
| 6. Week | Hypothesis Testing | Visual Presentation Practice Verbal Expression Course Hours |
| 7. Week | Hypothesis Testing | Visual Presentation Verbal Expression Practice Course Hours |
| 8. Week | Hypothesis Testing | Verbal Expression Course Hours Practice Visual Presentation |
| 9. Week | Hypothesis Testing and correlation | Practice Visual Presentation Verbal Expression Course Hours |
| 10. Week | regression analysis | Practice Visual Presentation Verbal Expression Course Hours |
| 11. Week | regression analysis | Course Hours Verbal Expression Visual Presentation Practice |
| 12. Week | variance analysis | Verbal Expression Visual Presentation Practice Course Hours |
| 13. Week | data collecting | Course Hours Visual Presentation Verbal Expression |
| 14. Week | nonparametric statistics | Course Hours Verbal Expression Visual Presentation Practice |
| Fikri Akdeniz “Probability and Statistics” Academy publications |
| Program Requirements | Contribution Level | DK1 | DK2 | Measurement Method |
|---|---|---|---|---|
| PY1 | 5 | 0 | 0 | - |
| PY2 | 4 | 0 | 0 | - |
| PY3 | 1 | 0 | 0 | - |
| PY4 | 3 | 0 | 0 | - |
| PY5 | 5 | 0 | 0 | - |
| PY6 | 4 | 0 | 0 | - |
| PY7 | 5 | 0 | 0 | - |
| PY8 | 2 | 0 | 0 | - |
| PY9 | 1 | 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) |
|---|---|---|---|
| Midterm 1 | 1 | 40.5 | 40.5 |
| Final | 1 | 45 | 45 |
| Practice | 14 | 3 | 42 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
