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ORM5150 | Experimental Design | 3+0+0 | ECTS:7.5 | Year / Semester | Spring Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of FOREST ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Prof. Dr. Nuray MISIR | Co-Lecturer | Assoc. Prof. Dr. Nuray MISIR | Language of instruction | Turkish | 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 Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | formulate an appropriate experimental design in relation to your experiments. | 2,3,4 | 1,3,5 | PO - 2 : | run a model in a computer and present the outcomes of the model to the audience. | 1,2,3 | 1,3,5 | PO - 3 : | analyze model results. | 3 | 1,3,5 | 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 | |
Planning of the Experiments, Randomized Block Desing, Comletely Randomized Block Design, Latin Square Design, Factorial Design, Nested Factorial Design. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic Concept of Experimental Design, Application of Experimental Design, Basic Principles | | Week 2 | Recognition 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 3 | Using Statistical Techniques in Exprimentation, Basic Statistical Concepts of Simple Comparative Experiments, Sampling and Sempling Distribition | | Week 4 | Inference About the Difference in Means, Randomized Designs, Hypothesis Testing, Choice of Sampling Size, Confidence Intervals | | Week 5 | Paired Comparisons, Paired Comparison Design, Advantages of the Paired Comprison Design | | Week 6 | Experiments with A Single Factor, The Analysis of Variance, Comparing of the Grup Means | | Week 7 | Model Adequacy Checking: Normality Assumption, plots of Residuals, Selecting a Variance -Stabilizing Transformation | | Week 8 | Fitting Responce Curves in the Simple-Factor, General Regression Approach, Orhogonal Polynomials | | Week 9 | Mid-term exam | | Week 10 | The Randomized Complete Blok Design, The Latin Square Design, The Graeco-Latin Square Design | | Week 11 | Basic Defnitions and Principle of Factorial Design, The Two Factor Factorial Design, Random and Mixed Models,The General Factorial Design | | Week 12 | Nested or Hierarchial Designs, Two-Stage Nested Design, General M- Stage Nested Design | | Week 13 | Multifactor Experiments with Randomization Restrictions, Randomized Blocks as Multifactor Designs, Latin Squares in Multifactor Designs | | Week 14 | Analysis of Experimental Models with SPSS | | Week 15 | Analysis of Covariance, A Simple Factor Design with One Covarience, The General Regression Significance Test, Other Covariance Models | | Week 16 | End-of-term exam | | |
1 | Toutenburg,H.,1995, Experimental Design and Model Choice,Physica-Verlag, Germany | | 2 | Montgomery,D.C.,1976, Design and Analysis of Experiments, Wiley,New York | | |
1 | Searle,S.R.,G, Casella and C.E., McCullock, 2002; Varience Components,Wiley, New York | | 2 | Jones,B. and M.G, Kenward,1989, Design Analysis of Crossover Trials, Chepman and Hall, London | | 3 | Girden, E.R., 1992, ANOVA- Regeted Measures, Sage Publications, New York | | 4 | Dunn, O.J. and V.A.Clark, 1987, Applied Statistics Analysis of Variance and Regression, Wiley, 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 | 2 | 20 | End-of-term exam | 16 | 2022 | 2 | 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 | 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 load | | | 228 |
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