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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Site Index Models for Prediction of Forest Site Quality ORM572 FALL 3+0 Faculty E 6
    Learning Outcomes
    1-Teach the concept of site quality in forestry
    2-Teach the importance of site quality in forestry
    3-Teach the concept of site index for predicting site quality
    4-Teach the methods for predicting site index
    5-Teach the Algebraic difference and Generalized algebraic difference approaches
  • ECTS / WORKLOAD
    • ActivityPercentage

    (100)

    		NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14456
    Assignments5022040
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)0000
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5014040
    0000
    Total Workload (hours)   178
    Total Workload (hours) / 30 (s)     5,93 ---- (6)
    ECTS Credit   6
  • Course Content
    • Week Topics Study Metarials
    1 The concept of site quality in forestry R1. Chapter 1
    2 The importance in forestry and the effects in decision-making processes in forestry R1. Chapter 2 R2. Chapter 1
    3 The classification of methods for prediction of site quality R1. Chapter 3
    4 Direct methods for prediction of site quality R2. Chapter 2
    5 Indirect methods for prediction of site quality R2. Chapter 3 R3. Chapter 3
    6 The use of stand dominant height for prediction of site quality R2. Chapter 4
    7 Site index models for prediction of site quality R1. Chapter 3 R3. Chapter 3
    8 Nonlinear regression models for prediction of site quality R2. Chapter 4 R3. Chapter 4
    9 Parameter prediction method R4. Chapter 5
    10 Algebraic difference approach (ADA) R5. Chapter 2
    11 Generalized Algebraic Difference Approach (GADA) R5. Chapter 3
    12 Developing models in ADA and GADA R5. Chapter 2 R6. Chapter 3
    13 Auto-regression problem for developing site index models and Autoregressive models R5. Chapter 4 R6. Chapter 5
    14 Predicting parameters of autoregressive models with SAS statistical package program R5. Chapter 4 R6. Chapter 5
    Prerequisites -
    Language of Instruction Turkish
    Responsible Prof. Dr. İlker ERCANLI, Assoc. Prof. Dr. Muammer ŞENYURT
    Instructors -
    Assistants Dr. Ferhat BOLAT
    Resources 1. Kalıpsız, A., 1998. Orman Hasılat Bilgisi, İstanbul Üniversitesi Orman Fakültesi Yayınları, No:4060/448, İstanbul. 349 s. 2. Fırat, F., 1972. Orman Hasılat Bilgisi, İ. Ü. Orman Fakültesi Yayın No: 166, 191 s 3. Günel, A.,1981. Orman Hasılat Bilgisi Ders Notları, , İstanbul Üniversitesi Orman Fakültesi Yayınları, İstanbul. 4. Pretzcsh, H., 2009. Forest Dynamics: from Measurement To Model, Springer International, Berlin, Germany, 664 s. 5. Cieszewski, C.J., 1999. The Algebraic Difference Approach Improves Fixed Base-Age Site Models Based On Chapman-Richard Function, PMRC Technical Report 1999-9. 6. Cieszewski, C.J. ve Bailey, R.L., 2000. Generalized Algebraic Difference Approach: Theory Based Derivation of Dynamic Site Equations with Polymorphism and Variable Asymptotes, Forest Science, 46, 116?126.
    Supplementary Book -
    Goals To teach the technique of modeling based on the Algebraic difference and Generalized algebraic difference approaches for predicting the site index
    Content to develop the site index models based on the Algebraic difference and Generalized algebraic difference approaches
  • Program Learning Outcomes
    • Program Learning Outcomes Level of Contribution
    1 Must learn the methods of both improving the basic sciences and engineering knowledge and obtaining new knowledges at a level of expertise 4
    2 Must be able to design, develop, and apply methods and experiments at advanced level to solve forestry problems, and analyses and interpret their results 5
    3 Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions 4
    4 Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems 5
    5 Must be able to act in an advanced level of professional ethics and responsibility during the identification and resolution of problems encountered in forestry 4
    6 Must be able to do the task in a single or multi-disciplinary working groups, and be able to show effective communication 4
    7 Must have the ability to effective use of both information technologies and a foreign language at an advanced level 5
    8 Must be able to describe, foresee and solve the current problems in the fields of forestry and other related problems at advanced level brought by current global developments 5
    9 Must be able to use the tools and techniques required for forestry applications at an advanced level -
    10 Must be able to think, interpret, analyse and synthesize forestry practices at an advanced level by using a three dimensional perspective -
    11 Must be able to research and survey any kinds of natural resources and event, and write advanced reliable reports by using the achieved findings -
    12 Must be able to understand the necessity of life-long learning at an advanced level, and to be able to use the methods that keeps obtained knowledge up date -
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