| 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 |
| Instructors |
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 | Course Hours Visual Presentation Verbal Expression Practice |
| 2. Week | Sampling distributions | Visual Presentation Practice Course Hours Verbal Expression |
| 3. Week | Data definitions | Visual Presentation Verbal Expression Course Hours Practice |
| 4. Week | estimation methods | Course Hours Visual Presentation Verbal Expression Practice |
| 5. Week | estimation methods | Practice Course Hours Verbal Expression Visual Presentation |
| 6. Week | Hypothesis Testing | Verbal Expression Visual Presentation Course Hours Practice |
| 7. Week | Hypothesis Testing | Visual Presentation Practice Verbal Expression Course Hours |
| 8. Week | Hypothesis Testing | Verbal Expression Course Hours Practice Visual Presentation |
| 9. Week | Hypothesis Testing and correlation | Course Hours Verbal Expression Visual Presentation Practice |
| 10. Week | regression analysis | Verbal Expression Course Hours Practice Visual Presentation |
| 11. Week | regression analysis | Course Hours Practice Verbal Expression Visual Presentation |
| 12. Week | variance analysis | Course Hours Verbal Expression Visual Presentation Practice |
| 13. Week | data collecting | Verbal Expression Visual Presentation Course Hours |
| 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 | ||
