Course Information

Course Information
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.
Learning Outcomes
# 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.
Lesson Plan (Weekly Topics)
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
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
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
Relations with Education Attainment Program Course Competencies
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
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 4. Statistics, Open Education Faculty Textbooks
  • 5. www.tuik.gov.tr
ECTS credits and course workload
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