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| ORML7430 | Spatial Planning in Forestry | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of FOREST ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Group study, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Characterizing and integrating spatial parameters in forest management plans using combinatorial optimization techniques such as simulated annealing based on multiple use forest management planning concept . |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Students will be able to use GIS and conduct advanced spatial analysis. | 9,10,12 | 1,3 | | PO - 2 : | Students will be able to define proximity, adjacency, block size, opening size constraints in spatial planning process | 8,10 | 3,4 | | PO - 3 : | Students will be able to prepare strategic plans as well as tactical plans using optimization and simulation techniques | 3,10 | 6 | | PO - 4 : | Students will be able to apply heuristics techniques (Taboo search, Simulated annealing) in spatial planning | 4,12 | 6 | | PO - 5 : | Students will be able to control fragmentation with spatial metrics and spatial parameters and interpret spatial model outputs | 3 | 1,6 | | 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 | | |
| Preparation of ecosystem based multiple use forest management plans, defining spatial parameters and integrating them into spatial forest planning process. Characterizing proximity, adjacency, harvest block size and opening size constraints in spatial planning process using geographic information systems. Use of various heuristics techniques such as Taboo search and Simulated annealing in spatial forest planning in association with strategic and tactical planning concepts. Determination and use of fragmentation indexes such as class area, patch size, landscape similarity index, number of patch, patch density and mean patch size in decision making process. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to the course | | | Week 2 | Advanced spatial analysis using GIS | | | Week 3 | Spatial parameters(proximity, adjacency, green up, block size and opening size) | | | Week 4 | Integration of spatial parameters in Spatial planning process | | | Week 5 | Interpretaion of strategic plans and tactical plans prepared using optimization and simulation techniques | | | Week 6 | Heuristics techniques (Taboo search, Simulated annealing) | | | Week 7 | Using Heuristics techniques in spatial forest planning | | | Week 8 | Mid term exam -1 | | | Week 9 | Fragmentation index | | | Week 10 | Controling fragmentation and spatial parameters using heuristic techniques | | | Week 11 | project work -1 | | | Week 12 | project work -2 | | | Week 13 | project work -3 | | | Week 14 | project presentaiton | | | Week 15 | Term project | | | Week 16 | End-of-term exam | | | |
| 1 | Forest management (Lawrence S. Davis, K. Norman Johnson, Kenneth Pickett DavisEditörlerLawrence S. Davis, K. Norman Johnson) | | | |
| 1 | Forest management and planning (Pete Bettinger,Jacek Siry,Kevin Boston,Donald L. Grebner), | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 31/03/2011 | 60 | 30 | | Project | 14 | 13/05/2011 | 120 | 15 | | Homework/Assignment/Term-paper | 15 | 20/05/2011 | 120 | 15 | | End-of-term exam | 16 | 27/05/2011 | 60 | 40 | | |
| 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 | 8 | 3 | 24 | | Sınıf dışı çalışma | 6 | 5 | 30 | | Arasınav için hazırlık | 4 | 5 | 20 | | Arasınav | 1 | 2 | 2 | | Uygulama | 6 | 5 | 30 | | Ödev | 6 | 5 | 30 | | Proje | 5 | 6 | 30 | | Dönem sonu sınavı için hazırlık | 5 | 5 | 25 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 192 |
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