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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING
Masters with Thesis
Course Catalog
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Masters with Thesis
Katalog Ana Sayfa
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ORM5150Experimental Design3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of FOREST ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Nuray MISIR
Co-LecturerAssoc. Prof. Dr. Nuray MISIR
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of this course is to explain the fundamental statistical concepts required for designing efficient experiments to answer real questions.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : formulate an appropriate experimental design in relation to your experiments.2,3,41,3,5
PO - 2 : run a model in a computer and present the outcomes of the model to the audience.1,2,31,3,5
PO - 3 : analyze model results.31,3,5
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
Planning of the Experiments, Randomized Block Desing, Comletely Randomized Block Design, Latin Square Design, Factorial Design, Nested Factorial Design.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic Concept of Experimental Design, Application of Experimental Design, Basic Principles
 Week 2Recognition of and Statement of the Problem, Choice of factor and Levels, Selection of Responce Variable, Choice of Experimental Design, Performing The Experiment, Data Analysis, Conclusions and Recommentation
 Week 3Using Statistical Techniques in Exprimentation, Basic Statistical Concepts of Simple Comparative Experiments, Sampling and Sempling Distribition
 Week 4Inference About the Difference in Means, Randomized Designs, Hypothesis Testing, Choice of Sampling Size, Confidence Intervals
 Week 5Paired Comparisons, Paired Comparison Design, Advantages of the Paired Comprison Design
 Week 6Experiments with A Single Factor, The Analysis of Variance, Comparing of the Grup Means
 Week 7Model Adequacy Checking: Normality Assumption, plots of Residuals, Selecting a Variance -Stabilizing Transformation
 Week 8Fitting Responce Curves in the Simple-Factor, General Regression Approach, Orhogonal Polynomials
 Week 9Mid-term exam
 Week 10The Randomized Complete Blok Design, The Latin Square Design, The Graeco-Latin Square Design
 Week 11Basic Defnitions and Principle of Factorial Design, The Two Factor Factorial Design, Random and Mixed Models,The General Factorial Design
 Week 12Nested or Hierarchial Designs, Two-Stage Nested Design, General M- Stage Nested Design
 Week 13Multifactor Experiments with Randomization Restrictions, Randomized Blocks as Multifactor Designs, Latin Squares in Multifactor Designs
 Week 14Analysis of Experimental Models with SPSS
 Week 15Analysis of Covariance, A Simple Factor Design with One Covarience, The General Regression Significance Test, Other Covariance Models
 Week 16End-of-term exam
 
Textbook / Material
1Toutenburg,H.,1995, Experimental Design and Model Choice,Physica-Verlag, Germany
2Toutenburg,H.,1995, Experimental Design and Model Choice,Physica-Verlag, Germany
3Montgomery,D.C.,1976, Design and Analysis of Experiments, Wiley,New York
4Montgomery,D.C.,1976, Design and Analysis of Experiments, Wiley,New York
 
Recommended Reading
1Searle,S.R.,G, Casella and C.E., McCullock, 2002; Varience Components,Wiley, New York
2Searle,S.R.,G, Casella and C.E., McCullock, 2002; Varience Components,Wiley, New York
3Jones,B. and M.G, Kenward,1989, Design Analysis of Crossover Trials, Chepman and Hall, London
4Jones,B. and M.G, Kenward,1989, Design Analysis of Crossover Trials, Chepman and Hall, London
5Girden, E.R., 1992, ANOVA- Regeted Measures, Sage Publications, New York
6Girden, E.R., 1992, ANOVA- Regeted Measures, Sage Publications, New York
7Dunn, O.J. and V.A.Clark, 1987, Applied Statistics Analysis of Variance and Regression, Wiley, New York
8Dunn, O.J. and V.A.Clark, 1987, Applied Statistics Analysis of Variance and Regression, Wiley, 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 2 20
End-of-term exam 16 2022 2 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 15 45
Sınıf dışı çalışma 6 10 60
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 load228