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| ORM7180 | Quantitavie Analysis in Ecological Researches | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Hakkı YAVUZ | | Co-Lecturer | Prof. Dr. Nuray MISIR | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to apply appropriate statistical methods in the forestry and ecological researches |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Formulate an appropriate statistical methods in relation to your researches. | 2,3,4,5 | 1,3 | | PO - 2 : | Run a statistical test in a computer by a packet program (for example) SPSS and present the outcomes of the tests. | 1,2,3 | 1,3 | | PO - 3 : | Analyze model results | 2,3,4 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Classification of multivariate statistical tests, Multivariate linear regression, Nonlinear regression, Logistic Regression, Principal component regression, Principal component analysis, Factor analysis, Cluster analysis, Discriminant alaysis |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic Concepts of Plant Growth | | | Week 2 | Tree fizyolopy, Root Growth, Stem Growth, Branch Growth | | | Week 3 | Statistical Tree Growth Functions, Gompertz Functions, Hassfeld Functions | | | Week 4 | Schumacher Function, Lungdqvist-Kart Function,Chapman-Richards Function, Logistic Function | | | Week 5 | Linear Regression, Assumption of Linear Regression, The Least Squares, Testing of Model and Model Parameters | | | Week 6 | Muliple Linear Regression, Forward Selection, Backward Elimination, Stepwise Regression, Determination of Outliers | | | Week 7 | Nonlinear Regression, Parameter Estimation Methods | | | Week 8 | Characteristics of Forest Enterprise, Quantifying of Variables, Classification of Variables, Principal Component Analysis with Forestry Variables | | | Week 9 | Mid-term exam | | | Week 10 | Cluster Analysis, Basic Concepts of Cluster Analysis, Methods of Cluster Analysis, Classifaciton of Forest Stands and Forest Enterprise with Cluster Analysis | | | Week 11 | Discriminant Analysis, Component of Discriminant Analysis, Application of Discriminant Analysis in Forestry | | | Week 12 | Canonical Correlation Analysis, Examples of Canonical Correlation Analysis in Forestry | | | Week 13 | Numerical Examples for Regression Analysis in Forestry | | | Week 14 | Numerical Examples for Principal Compenent Analysis in Forestry | | | Week 15 | Numerical Examples for Cluster, Discriminant and Canonical Correlation Analysis in Forestry | | | Week 16 | End-of-term exam | | | |
| 1 | Causton,D.R, and J.C Venus,1981,The Biometry of Plant Growth,Edward Arnold, London | | | 2 | Evans,G.C,1972, The Quantitative Analaysis of Plant Growth, Blackwell Scientific Publication, Oxford | | | |
| 1 | Everitt, B.S,1993, Cluster Analysis, John Wiley and Sons, New York | | | 2 | Feistein, A.R,1996,Multivariate Analysis: An Introduction, Yale University Press, New Haven | | | 3 | Sharma,S. , 1996, Applied Multivariate Techniques, John Wile and Sons, Inc. New York | | | 4 | Mainly B.F.J. 1994, Multivariate Statistical Methods, Chapman and Hall, New York | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2021 | 2 | 30 | | Homework/Assignment/Term-paper | 13
14 | 2021 | 3
3 | 20 | | End-of-term exam | 16 | 2022 | 3 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 13 | 39 | | Sınıf dışı çalışma | 6 | 8 | 48 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 4 | 8 | 32 | | Arasınav | 3 | 1 | 3 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 3 | 8 | 24 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 6 | 6 | 36 | | Dönem sonu sınavı | 3 | 1 | 3 | | Diğer 1 | 5 | 5 | 25 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 210 |
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