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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING
Doctorate
Course Catalog
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Doctorate
Katalog Ana Sayfa
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ORM7180Quantitavie Analysis in Ecological Researches3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of FOREST ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Hakkı YAVUZ
Co-LecturerProf. Dr. Nuray MISIR
Language of instructionTurkish
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 OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Formulate an appropriate statistical methods in relation to your researches.2,3,4,51,3
PO - 2 : Run a statistical test in a computer by a packet program (for example) SPSS and present the outcomes of the tests.1,2,31,3
PO - 3 : Analyze model results 2,3,41,3
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

 
Contents of the Course
Classification of multivariate statistical tests, Multivariate linear regression, Nonlinear regression, Logistic Regression, Principal component regression, Principal component analysis, Factor analysis, Cluster analysis, Discriminant alaysis
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic Concepts of Plant Growth
 Week 2Tree fizyolopy, Root Growth, Stem Growth, Branch Growth
 Week 3Statistical Tree Growth Functions, Gompertz Functions, Hassfeld Functions
 Week 4Schumacher Function, Lungdqvist-Kart Function,Chapman-Richards Function, Logistic Function
 Week 5Linear Regression, Assumption of Linear Regression, The Least Squares, Testing of Model and Model Parameters
 Week 6Muliple Linear Regression, Forward Selection, Backward Elimination, Stepwise Regression, Determination of Outliers
 Week 7Nonlinear Regression, Parameter Estimation Methods
 Week 8Characteristics of Forest Enterprise, Quantifying of Variables, Classification of Variables, Principal Component Analysis with Forestry Variables
 Week 9Mid-term exam
 Week 10Cluster Analysis, Basic Concepts of Cluster Analysis, Methods of Cluster Analysis, Classifaciton of Forest Stands and Forest Enterprise with Cluster Analysis
 Week 11Discriminant Analysis, Component of Discriminant Analysis, Application of Discriminant Analysis in Forestry
 Week 12Canonical Correlation Analysis, Examples of Canonical Correlation Analysis in Forestry
 Week 13Numerical Examples for Regression Analysis in Forestry
 Week 14Numerical Examples for Principal Compenent Analysis in Forestry
 Week 15Numerical Examples for Cluster, Discriminant and Canonical Correlation Analysis in Forestry
 Week 16End-of-term exam
 
Textbook / Material
1Causton,D.R, and J.C Venus,1981,The Biometry of Plant Growth,Edward Arnold, London
2Causton,D.R, and J.C Venus,1981,The Biometry of Plant Growth,Edward Arnold, London
3Evans,G.C,1972, The Quantitative Analaysis of Plant Growth, Blackwell Scientific Publication, Oxford
4Evans,G.C,1972, The Quantitative Analaysis of Plant Growth, Blackwell Scientific Publication, Oxford
 
Recommended Reading
1Everitt, B.S,1993, Cluster Analysis, John Wiley and Sons, New York
2Everitt, B.S,1993, Cluster Analysis, John Wiley and Sons, New York
3Feistein, A.R,1996,Multivariate Analysis: An Introduction, Yale University Press, New Haven
4Feistein, A.R,1996,Multivariate Analysis: An Introduction, Yale University Press, New Haven
5Sharma,S. , 1996, Applied Multivariate Techniques, John Wile and Sons, Inc. New York
6Sharma,S. , 1996, Applied Multivariate Techniques, John Wile and Sons, Inc. New York
7Mainly B.F.J. 1994, Multivariate Statistical Methods, Chapman and Hall, New York
8Mainly B.F.J. 1994, Multivariate Statistical Methods, Chapman and Hall, New York
 
Method of Assessment
Type of assessmentWeek NoDate

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 workDuration (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 load210