CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Optimization Techniques in Forestry ORM548 FALL 3+0 E 6
    Learning Outcomes
    1-Repeats models and modeling concepts
    2-Recognizes the optimization techniques used in forestry
    3-Recognizes the importance of optimization techniques and uses them in solving forestry related problems
    4-Organizes the ways and methods of searching for numerical solutions in solving forestry related problems
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14342
    Assignments2517070
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2511515
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5011515
    0000
    Total Workload (hours)   184
    Total Workload (hours) / 30 (s)     6,13 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 System concept and its scope R1. P. 1-7 R2. P. 1-6 SR1. P.10-30
    2 Model concept, model types and its elements R1. P. 7-24
    3 Optimization models R1. P. 24-36
    4 Linear programming R1. P. 37-92 R2. P. 9-27
    5 Solving linear programming models R1. P. 93-120 R2. P. 29-52
    6 Introduction to LINDO matrix solver LINDO program will be introduced in the course.
    7 Case studies of linear programming in forestry R1. P. 131-268 R2. P. 53-176
    8 Integer programming R1. P. 353-365 R2. P. 203-232
    9 Extensions of integer programming R1. P. 353-365 R2. P. 203-232
    10 Case studies of integer programming in forestry R1. P. 353-365 R2. P. 203-232
    11 Goal programming R1. P. 309-352 R2. P. 179-201
    12 Case studies of goal programming in forestry R1. P. 309-352 R2. P. 179-201
    13 Dynamic programming R2. P. 259-287
    14 Case studies of dynamic programming in forestry R2. P. 259-287
    Prerequisites No
    Language of Instruction Turkish
    Responsible Prof. Dr. Sedat KELEŞ
    Instructors -
    Assistants -
    Resources R1. Başkent, E.Z. (2004). Yöneylem araştırması, modelleme ve doğal kaynak uygulamaları. KTÜ Orman Fakültesi Yayın No: 36, 480 s. R2. Buongiorno, J., & Gilless, J. (2003). Decision methods for forest resource management. Academic Pres, USA, 439 s.
    Supplementary Book SR1. Bettinger, P., et al. (2009). Forest management and planning, Academic Pres, USA, 331s.
    Goals To give information about optimization techniques used in forestry.
    Content Firstly, system and model/modeling concepts will be introduced in this course. Then; linear, integer, goal and dynamic programming techniques being applied in forestry will be explained in conjunction with forestry applications.
  • 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 -
    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 -
    6 Must be able to do the task in a single or multi-disciplinary working groups, and be able to show effective communication -
    7 Must have the ability to effective use of both information technologies and a foreign language at an advanced level 4
    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 -
    9 Must be able to use the tools and techniques required for forestry applications at an advanced level 5
    10 Must be able to think, interpret, analyse and synthesize forestry practices at an advanced level by using a three dimensional perspective 5
    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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