Rapor Tarihi: 11.01.2026 22:13
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistic | OEM210 | Turkish | Compulsory | 4. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. Canberk BATU |
| Instructor(s) | |
| Goals | Teach students basic concepts and techniques of statistics, introduce statistics make them lare it, provide critical thinking with the help of statistical concepts. |
| Course Content | The basic concepts of statistics, classification of data, the central tendency and dispersion, methods of statistical estimation, hypothesis testing, analysis of variance, correlation and regression. |
| # | Öğrenme Kazanımı |
| 1 | To recognize and learn the basic terms and concepts related to statistics. |
| 2 | Data collection, classification and presentation ability. |
| 3 | To determine and apply the most appropriate statistical technique / techniques to apply setting. |
| 4 | Be able to predict and interpret statistically. |
| 5 | Be able to analyze the problems encountered in working life. |
| 6 | To understand the role of analysis of statistical data in administrative decision-making. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | General Definition Of Statistics, History And General Concepts. | Interview, Presentation (Preparation), Practice |
| 2. Week | Statistical data collection and classification. | Interview, Presentation (Preparation), Practice |
| 3. Week | Central Tendency And Distribution Measure | Interview, Presentation (Preparation), Practice |
| 4. Week | Central Tendency And Distribution Measure (Continued) | Interview, Presentation (Preparation), Practice |
| 5. Week | Probability Theory | Interview, Presentation (Preparation), Practice |
| 6. Week | Theoretical distributions | Interview, Presentation (Preparation), Practice |
| 7. Week | Sampling distribution | Interview, Presentation (Preparation), Practice |
| 8. Week | Midterm Exam | Interview, Presentation (Preparation), Practice |
| 9. Week | Statistical estimation | Interview, Presentation (Preparation), Practice |
| 10. Week | Hypothesis testing | Interview, Presentation (Preparation), Practice |
| 11. Week | The chi-square test | Interview, Presentation (Preparation), Practice |
| 12. Week | Analysis of variance | Interview, Presentation (Preparation), Practice |
| 13. Week | Korelasyon Analizi | Interview, Presentation (Preparation), Practice |
| 14. Week | Regresyon Analizi | Interview, Presentation (Preparation), Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To be able to identify the wood species based on the knowledge on wood biology, | ✔ | |||||
| 2 | Having knowledge on physical, mechanical and chemical properties of lignocellulosic products, | ✔ | |||||
| 3 | Having knowledge on wood product technologies and applying this knowledge to production, | ✔ | |||||
| 4 | Planning and managing the forest products industries taking into regard the environmental, technical and economic issues, | ✔ | |||||
| 5 | To be able to select and propose different forest products for various utilizations, | ✔ | |||||
| 6 | To be able to questioning and researching, including knowledge and experience how to reach information and analytical thinking and ability to design products, | ✔ | |||||
| 7 | To be able participate in a team, being in team works, in need being independent and initiative, | ✔ | |||||
| 8 | Having social and professional ethical values. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY1 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY2 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY5 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY6 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY7 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY8 | 5 | 5 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 1 | 14 |
|
Ders Dışı |
Research | 8 | 2 | 16 |
| Interview | 14 | 1 | 14 | |
| Presentation (Preparation) | 14 | 1 | 14 | |
| Practice | 14 | 1 | 14 | |
|
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Practice | 14 | 1 | 14 | |
| Classroom Activities | 14 | 1 | 14 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
