CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Applications of Non-Parametic Statistical Analysis in Forestry ORM544 FALL 3+0 E 6
    Learning Outcomes
    1-Explains the applications of nonparametric analysis with a statistical package program
    2-Teach the determination of best suitable nonparametric statistical methods for forest studies
    3-Teach the application of Chi-square nonparametric analyse for survey studies with a statistical package program
    4-Teach the application of nonparametric signifiance analysis for mean with a statistical package program
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14456
    Assignments5023060
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)0000
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5012020
    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 nonparametric analysis and its types. K2 Chapter 5 must be read
    2 The usage of nonparametric analysis in forestry K1 13th chapter should be read
    3 The application of Chi-square independence nonparametric analyze for survey studies with a statistical package program-I K1 13th chapter should be read
    4 The application of Chi-square independence nonparametric analyze for survey studies with a statistical package program-II K1 13th chapter should be read
    5 The application of Chi-square goodness-of-fit nonparametric analyze with a statistical package program K1 13th chapter should be read
    6 The application of Chi-square homogeneity nonparametric analyze with a statistical package program K1 13th chapter should be read
    7 Median analyze with a statistical package program K1 13th chapter should be read
    8 The nonparametric two independent sample test (Mann-Whitney U test) with a statistical package program K1 13th chapter should be read
    9 The nonparametric two related sample test (Wilcoxon test) with a statistical package program K1 13th chapter should be read
    10 The nonparametric K independent sample test (Kruskal-Wallis H test) with a statistical package program K1 13th chapter should be read
    11 The nonparametric K dependent sample test (Friedman test) with a statistical package program K1 13th chapter should be read
    12 The nonparametric correlation analyse (Spearman correlation test) with a statistical package program K1 13th chapter should be read
    13 The nonparametric correlation analyse-I(Mood-Brown ve Theil tests) K1 13th chapter should be read
    14 The nonparametric correlation analyse-II (k-neighbored prediction method) K1 13th chapter should be read
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assoc. Prof. Dr. İlker ERCANLI, Assist. Prof. Dr. Muammer ŞENYURT
    Instructors -
    Assistants Res. Assist. Ferhat BOLAT
    Resources -
    Supplementary Book -
    Goals To teach the usages and application of nonparametric analysis with the aid of a statistical software package
    Content 1. Kıroğlu, G., 2001. Uygulamalı Parametrik Olmayan İstatistiksel Yöntemler. Mimar Sinan Üniversitesi, Fen-Edebiyat Fakültesi, İstatistik Bölümü, İstanbul. 2. Hardle, W., 1997. Applied Nonparametric Regression. Cambridge University, UK, 6nd edition. P: 14-85. 3. Gamgam, H. ve Altunkaynak, B., 2008. Parametrik Olmayan Yöntemler:SPSS Uygulamalı, Gazi Kitabevi, Ankara, 496 s.
  • 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 5
    3 Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions 1
    4 Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems 1
    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 5
    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 1
    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 5
    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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