CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • 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
    Other 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 S1 Forest production process section should be read
    2 The importance in forestry and the effects in decision-making processes in forestry S2 Page should be read between 48-64
    3 The classification of methods for prediction of site quality S2 Page should be read between 48-64
    4 Direct methods for prediction of site quality S3 Chapter 3 should be read
    5 Indirect methods for prediction of site quality S3 Chapter 3 should be read
    6 The use of stand dominant height for prediction of site quality S3 3.2.1. Chapter should be read
    7 Site index models for prediction of site quality S4 Introduction must be read
    8 Nonlinear regression models for prediction of site quality S5 Material and method section should be read
    9 Parameter prediction method S5 Findings section should be read
    10 Algebraic difference approach (ADA) S6 Introduction section should be read
    11 Generalized Algebraic Difference Approach (GADA) S6 Introduction and Material-Method section should be read
    12 Developing models in ADA and GADA S6 Method section should be read
    13 Auto-regression problem for developing site index models and Autoregressive models S6 Results section should be read
    14 Predicting parameters of autoregressive models with SAS statistical package program S6 Results section should be read
    Prerequisites -
    Language of Instruction Turkish
    Responsible Prof. Dr. Ziya ŞİMŞEK
    Instructors -
    Assistants Res. Assist. 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 concept of site quality, its importance in forestry, the effects in decision-making processes in forestry, the techniques for predicting site quality, the concept of site index as indicator of site quality, the Algebraic difference and Generalized algebraic difference approaches for modeling techniques in predicting site index
    Content -
  • 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 4
    3 Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions -
    4 Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems -
    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 -
    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 3
    9 Must be able to use the tools and techniques required for forestry applications at an advanced level 4
    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 3
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