| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Statistics in Engineering | AEM301 | 5. Semester | 3 + 0 | 3.0 | 3.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Required |
| Course Coordinator | |
| Instructors |
Hasan Hüseyin CİRİTCİOĞLU |
| Assistants | |
| 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. |
| Learning Outcomes |
- 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. |
| Week | Topics | Learning Methods |
|---|---|---|
| 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, examples of SPSS | |
| 12. Week | Averages: Sensitive and Non-Sensitive Average SPSS examples | |
| 13. Week | Variability measures, SPSS examples | |
| 14. Week | Variance analysis, SPSS examples. | |
| 15. Week | Probability, simple-multiple linear regression, SPSS examples |
| Course Book / Notes • Kalaycı, Ş., (Kollektif), (2008), SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayın Dağıtım. |
| • ÖZDAMAR, K., Paket Programlar İle İstatistiksel Veri Analizi I, Kaan Yayınevi, Eskişehir, 1997. |
| • KABE, D.G., GUPTA, A.K., Experimental Designs: Exercises and Solutions, Springer, USA, 2007. |
| Program Requirements | Contribution Level | DK1 | DK2 | Measurement Method |
|---|
| 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 | 3 | 3 |
| Homework 1 | 3 | 3 | 9 |
| Homework 2 | 3 | 3 | 9 |
| Final | 1 | 3 | 3 |
| Practice | 3 | 4 | 12 |
| Classroom Activities | 14 | 3 | 42 |
| Total Workload | 78 | ||
| ECTS Credit of the Course | 3.0 | ||
