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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Epidemiology of Forest Diseases ORM598 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-defines biotic and abiotic factors effective on plan disease epidemics
    2-recognizes general approaches used in disease epidemiology
    3-recognizes general approaches and software utilized for developing models and risk maps
  • ECTS / WORKLOAD
    • ActivityPercentage

    (100)

    		NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14342
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2512424
    Project2514848
    Laboratory 0000
    Final exam (exam + preparation) 5013636
    Other 0000
    Total Workload (hours)   192
    Total Workload (hours) / 30 (s)     6,4 ---- (6)
    ECTS Credit   6
  • Course Content
    • Week Topics Study Metarials
    1 Introduction to plant disease epidemiology R1, İntroduction
    2 important forest disease epidemics R1: Chapter 1
    3 the emergence and spread of plant diseases R1: Chapter 2
    4 the characteristics of pathogen populations and its role in the development of epidemic R1: Chapter 2, part 1
    5 the characteristics of host populations and its role in the development of epidemic R1: Chapter 2, part 2
    6 the impact of environmental variables and forestry practices on development of epidemic R1: Chapter 2, part 3
    7 disease predictions and damage evaluation R1: Chapter 3
    8 introduction to quantitative analysis of epidemics R1: Chapter 4
    9 Mathematical, statistical analysis R1: Chapter 2, part 1-2
    10 modelling diseases R1: Chapter 3
    11 Modelling methodologies and software R1: Chapter 3, part 1-2
    12 Creating disease risk maps R1: Chapter 4
    13 Analysis of models developed for forest pathogens -1 Sr1
    14 Analysis of models developed for forest pathogens -2 sr2
    Prerequisites -
    Language of Instruction Turkish
    Responsible Dr. Funda OSKAY
    Instructors

    1-)Doktor Öğretim Üyesi Funda Oskay
    Assistants -
    Resources R1. Oskay F. (2021). Orman hastalıkları epidemiyolojisi ders notları (geliştiriliyor)
    Supplementary Book SR11: Meentemeyer, R. K., Anacker, B. L., Mark, W., & Rizzo, D. M. (2008). Early detection of emerging forest disease using dispersal estimation and ecological niche modeling. Ecological Applications, 18(2), 377-390. SR2: Bosso, L., Luchi, N., Maresi, G., Cristinzio, G., Smeraldo, S., & Russo, D. (2017). Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning. Forest Ecology and Management, 400, 655-664.
    Goals Understanding interactions between biotic and abiotic factors associated with forest disease epidemic outbreaks, understanding approaches in disease modelling and creating disease risk maps
    Content characteristics of host and pathogen populations, environmental variables, modelling approaches, risk maps
  • 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 5
    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
    4 Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems 4
    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 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 4
    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 4
    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 4
    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 5
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