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| ORM7181 | The Methods of Forest Inventory | 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. Nuray MISIR | | Co-Lecturer | Assoc. Prof. Dr. Nuray MISIR | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The objective of this course is to obtain qualitative and quantitative information about forest resources at a specified point in time and a reasonable cost. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 4 : | Design an appropriate sampling methods | 4,5,6,7 | 1, | | PO - 5 : | Analyze the models output. | | 1, | | PO - 6 : | Compare the alternative inventory methods. | | 1, | | PO - 7 : | Can design fit for aim to inventory plan | | 1, | | 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 | | |
| National forest inventory, Regional forest inventory, Management forest inventory, Multi resource forest inventory, Sampling methods used in forest inventory ( simple random , systematic sampling, stratified sampling, cluster samling, double sampling, point sampling) , Optimization of forest inventory |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Sampling Units, Plot Shape, Plot Size | | | Week 2 | Simple Random Sampling | | | Week 3 | Point Sampling, Basic Principle, Choice of Basal Area Factor, Efficiancy of Point Sampling | | | Week 4 | Stratified Random Sampling, Allocation Methods, Block Sampling | | | Week 5 | Regression Estimators, Ratio Estimators | | | Week 6 | Double Sampling for Regression Estimators, Double Sampling for Stratification | | | Week 7 | Cluster Sampling, Definations, Estimators | | | Week 8 | List Sampling | | | Week 9 | Mid-term exam | | | Week 10 | 3P Sampling | | | Week 11 | Systematic Sampling | | | Week 12 | Mid-term exam | | | Week 13 | Sampling with Partial Replacement, Adaptive Cluster Sampling | | | Week 14 | National Forest Inventory | | | Week 15 | Completing of lacking | | | Week 16 | End-of-term exam | | | |
| 1 | A. Kangas, M. Maltamo, 2006, Forest Inventory: Methodology and Applications, Springer, The Netherlands | | | |
| 1 | Cochran,W.G.,1977, Sampling Techniques, 3 nd Edition, Wiley, New York | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 28.11.2023 | 3 | 30 | | In-term studies (second mid-term exam) | 12 | 26.12.2023 | 3 | 20 | | End-of-term exam | 16 | 18.01.2024 | 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 | 14 | 84 | | Arasınav için hazırlık | 3 | 6 | 18 | | Arasınav | 3 | 2 | 6 | | Dönem sonu sınavı için hazırlık | 6 | 5 | 30 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 180 |
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