Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|---|---|
Statistics | OM104 | Turkish | Compulsory | 2. Semester | 3 + 0 | 3.0 | 5.0 |
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 Practice Presentation (Preparation) |
3. Week | Central Tendency And Distribution Measure | Presentation (Preparation) Practice Interview |
4. Week | Central Tendency And Distribution Measure (Continued) | Interview Presentation (Preparation) Practice |
5. Week | Probability Theory | Presentation (Preparation) Practice Interview |
6. Week | Theoretical distributions | Presentation (Preparation) Interview Practice |
7. Week | Sampling distribution | Practice Presentation (Preparation) Interview |
8. Week | Midterm Exam | Interview Practice Presentation (Preparation) |
9. Week | Statistical estimation | Interview Presentation (Preparation) Practice |
10. Week | Hypothesis testing | Practice Interview Presentation (Preparation) |
11. Week | The chi-square test | Presentation (Preparation) Interview Practice |
12. Week | Analysis of variance | Presentation (Preparation) Interview Practice |
13. Week | Correlation analysis | Interview Practice Presentation (Preparation) |
14. Week | Regression analysis | Presentation (Preparation) Interview Practice |
No | Program Requirements | Level of Contribution | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Understanding of sustainable resource use | ✔ | |||||
2 | Essential knowledge of flora, fauna, ecosystem and natural resource concerning forestry | ✔ | |||||
3 | Essential knowledge about the administrative and legal structure, policy-making and planning processes, supply-demand relations, socio-economic situation concerning forest resources of Turkey | ✔ | |||||
4 | Competence in defining, modelling and solving a problem concerning the field of forestry | ✔ | |||||
5 | Skill of using contemporary techniques and instruments needed for forestry practices | ✔ | |||||
6 | Skill of applying the knowledge of mathematics, science and engineering in forestry problems | ✔ | |||||
7 | Skill of designing and conducting experiments, analyzing the data, and interpreting the results | ✔ | |||||
8 | Skill of team-work within the forestry discipline as well as with other disciplines | ✔ | |||||
9 | Adequate knowledge and skill of foreign language to follow the facts and developments concerning forestry | ✔ | |||||
10 | Skill of effective verbal and written communication | ✔ | |||||
11 | Competence in taking initiative and acting independently | ✔ | |||||
12 | Knowledge and consciousness of quality | ✔ | |||||
13 | Consciousness of life-time learning | ✔ | |||||
14 | Consciousness of professional ethics and social responsibility | ✔ |
Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
---|---|---|---|---|---|---|
PY1 | 5 | 5 | 5 | 5 | 5 | 5 |
PY2 | 1 | 1 | 1 | 1 | 1 | 1 |
PY3 | 2 | 2 | 2 | 2 | 2 | 2 |
PY4 | 4 | 4 | 4 | 4 | 4 | 4 |
PY5 | 3 | 3 | 3 | 3 | 3 | 3 |
PY6 | 4 | 4 | 4 | 4 | 4 | 4 |
PY7 | 4 | 4 | 4 | 4 | 4 | 4 |
PY8 | 3 | 3 | 3 | 3 | 3 | 3 |
PY9 | 1 | 1 | 1 | 1 | 1 | 1 |
PY10 | 1 | 1 | 1 | 1 | 1 | 1 |
PY11 | 1 | 1 | 1 | 1 | 1 | 1 |
PY12 | 4 | 4 | 4 | 4 | 4 | 4 |
PY13 | 3 | 3 | 3 | 3 | 3 | 3 |
PY14 | 3 | 3 | 3 | 3 | 3 | 3 |
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 | 2 | 28 |
Ders Dışı |
Preparation, After Class Study | 14 | 2 | 28 |
Research | 14 | 2 | 28 | |
Practice | 11 | 1 | 11 | |
Other Activities | 11 | 1.5 | 16.5 | |
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
Final | 1 | 1 | 1 | |
Classroom Activities | 14 | 1 | 14 | |
Total Workload | 127.5 | |||
*AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 |