| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics And Probability | MM106 | Turkish | Compulsory | 2. Semester | 3 + 0 | 3.0 | 3.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Required |
| Course Coordinator | Prof. Dr. Fuat KARA |
| Instructor(s) | |
| Goals | Course Objectives Thinking with quantitative data on the number of students and help to interpret the understanding behind. |
| Course Content | Statistics theories and techniques learned. • Learn statistical information infrastructure of the statistical information used in other courses and offer solutions to engineering problems will be able to think analytically. |
| # | Öğrenme Kazanımı |
| 1 | Statistics theories and techniques learned. |
| 2 | • Learn statistical information infrastructure of the statistical information used in other courses and offer solutions to engineering problems will be able to think analytically. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | The importance of statistics, data sources, basic statistical concepts | |
| 2. Week | Data collection and classification | |
| 3. Week | Calculation of measures of central tendency | |
| 4. Week | Calculation of measures of central tendency | |
| 5. Week | Descriptive statistics and its applications | |
| 6. Week | Create cross-table | |
| 7. Week | Interpretation of tables and descriptive statistics | |
| 8. Week | Midterm | |
| 9. Week | Experimental design and research planning | |
| 10. Week | Hypothesis building | |
| 11. Week | Data processing, Series and graphs | |
| 12. Week | Averages: Sensitive and Non-Sensitive Average | |
| 13. Week | Variability measures | |
| 14. Week | Variance analysis | |
| 15. Week | Probability, simple-multiple linear regression, SPSS examples |
| Program Requirements | DK1 | DK2 |
|---|
| 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 | 1 | 2.25 | 2.25 |
| Homework 1 | 3 | 3 | 9 | |
| Homework 2 | 3 | 3 | 9 | |
| Final | 1 | 2.25 | 2.25 | |
| Practice | 3 | 4 | 12 | |
| Classroom Activities | 14 | 3 | 42 | |
| Total Workload | 76.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 3.0 | ||
