CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Computer Supported Statistics Applications for Forestry ORM314 SPRING 3+0 Faculty E 3
    Learning Outcomes
    1-Enter the data measured in forestry into a statistical package program
    2-Creates summary tables for the data
    3-Apply univariate parametric significance tests on the computer and interpret the results
    4-Apply Correlation and Regression Analysis in the statistical package program
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14114
    Assignments10188
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)4011212
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5011515
    Other 0000
    Total Workload (hours)   91
    Total Workload (hours) / 30 (s)     3,03 ---- (3)
    ECTS Credit   3
  • Course Content
  • Week Topics Study Metarials
    1 Definition of statistical science, purpose and statistical problems that can be encountered in forestry K3-Introduction and the Importance of Statistics in Forestry
    2 Introduction of statistical package programs and data entry K1, K2-Intoduction Section and Data Entry Section
    3 Creating data summary tables with statistical package program K1, K2-Summary Tables Section
    4 Calculation of descriptive statistics (Arithmetic mean, Standard deviation, variance, median, mode and coefficient of variation etc.) with statistics package program K1, K2-Descriptive Statistics Section
    5 Testing the normal distribution suitability of the data with the statistical package program K1, K2-Statistics Probability Distributions Section
    6 Student t tests with statistics package program-I K1, K2-Student t Tests Section
    7 Student t tests with statistics package program-II K1, K2-Student t Tests Section
    8 Student t tests with statistics package program-III K1, K2-Student t Tests Section
    9 Chi-square Analysis with statistics package program K1, K2-ChiSquare Analysis Section
    10 One Way ANOVA Analysis with Statistics Package Program K1, K2-Variance Analysis Section
    11 Correlation Analysis with Statistical Package Program K1, K2-Correlation Analysis Section
    12 Simple Regression Analysis with Statistics package program K1, K2, Regression Analysis Section
    13 Multiple Regression Analysis with Statistics package program K1, K2, Regression Analysis Section
    14 Applications of Regression Analysis in Forestry and Tree Volume Tables K3-Prediction in Forestry Section
    Prerequisites -
    Language of Instruction Turkish
    Responsible Assist Prof. Dr. Muammer ŞENYURT
    Instructors -
    Assistants Dr. Ferhat BOLAT
    Resources 1. Özdamar, K.2009; SPSS ile Biyoistatistik, Kaan Kitabevi, ISBN 9789756787076, Ankara 2. Özdamar, K. 2004; Paket Programlar ile İstatistik Veri Analizi 1, Kaan Kitabevi, ISBN 9789755912233, Ankara 3. Kalıpsız, A. 1981. İstatistik Yöntemler, İ.Ü. Orman Fakültesi Yayın No: 294.
    Supplementary Book -
    Goals To learn the application of solution ways related to statistical problems encountered in forestry with computer software with statistical package programs
    Content -
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Students gain skills to acknowledge environmental and forestry problems and producing solutions suitable to global and social conditions 3
    2 Students know both abiotic and biotic elements of biodiversity and forest ecosystems and comprehend the relations between them -
    3 Students have the knowledge and skills required for arrangement and management of sustainable resource management and forest resource planning 4
    4 Students have the skills and knowledge required for protection of forests, care and regeneration, establisment of new forests, and scheduled applications for improvement of nonproductive forest to productive forests -
    5 Students gain the skills for planning and inspection, revealing sociocultural, socioeconomical and sociopolitical structure of forestry -
    6 Students gain skills and knowledge for using information technologies, measurement and analysis devices and methods 4
    7 Students understand and apply national and international forestry policies, acts and trends 4
    8 Students have the skills for understanding and evaluatingthe sectoral structure of forestry in both national and international scale -
    9 Students may compete national and international scale, develop and join shared projects related to environment and forestry -
    10 Students gain skills for effective communication, analytic thinking, independent acting and working as a team. 4
    11 Students gain professional forestry understanding and ethical responsibility. -
    12 Students may follow ecological, political, economical and social developments, and use these information for improvement of national forestry. 4
    Çankırı Karatekin Üniversitesi  Bilgi İşlem Daire Başkanlığı  @   2017 - Webmaster