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Week
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Topics
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Study Metarials
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1
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The basic principles of statistical and the fundamentals of statistical thinking
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R1 Chapter 1
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2
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The importance of statistical methods and its application areas
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R2 Chapter 2
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3
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The calculation of descriptive statistics with a statistical package programs
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R2 Chapter 3
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4
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The constructing of various graphs with a statistical package programs
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R2 Chapter 4
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5
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The Producing of summary tables with a statistical package programs
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R1 Chapter 2
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6
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The analysis for the normal distribution of data
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R2 Chapter 5
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7
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Some statistical significance tests, one-sample t test, independent-sample t test and paired-sample t test, with a statistical package programs
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R3 Chapter 2
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8
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The One-Way ANOVA with a statistical package programs
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R3 Chapter 3
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9
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Correlation Analysis with a statistical package programs
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R2 Chapter 6
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10
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Regression Analysis with a statistical package programs
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R4 Chapter 2
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11
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Estimating some regression models with one independent variable in curve estimation module of a statistical package programs
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R4 Chapter 3
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12
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Estimating multiple regression model with a statistical package programs
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R3 Chapter 4
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13
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Estimating Nonlinear Regression with a statistical package programs
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R3 Chapter 5
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14
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Estimating Logistic Regression with a statistical package programs
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R4 Chapter 4
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Prerequisites
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-
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Language of Instruction
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Turkish
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Responsible
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Assist. Prof. Dr. Muammer ŞENYURT
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Instructors
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1-)Doçent Dr. Muammer Şenyurt
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Assistants
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Dr. Ferhat BOLAT
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Resources
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R1. SPSS Institute Inc., (2009). SPSS Base 15.0 User`s Guide, 388 p.
R2. Özdamar, K. (2002). Paket program ile istatistiksel veri analizi 1, Kaan Kitabevi, 687 s.
R3. Akgül, A. & Çevik, O. (2005). İstatistiksel analiz teknikleri, Emek ofset, 456 s.
R4. Kalıpsız, A. (1988), İstatistik yöntemler, İ. Ü. Yayın No: 3522, İstanbul, 453 s.
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Supplementary Book
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-
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Goals
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To learn the application of basic statistical analysis with the aid of statistical software package and the determination of best suitable statistical methods for forest studies.
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Content
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The basic principles of statistics, calculation of descriptive statistics, constructing of various graphs, Producing of summary tables, analysis for the normal distribution of data, statistical significance tests, one-sample t test, independent-sample t test and paired-sample t test, one-Way ANOVA, correlation analysis, regression analysis, estimating some regression models with one independent variable, multiple regression models, Nonlinear Regression, logistic regression
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Program Learning Outcomes |
Level of Contribution |
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1
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Must learn the methods of both improving the basic sciences and engineering knowledge and obtaining new knowledges at a level of expertise
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4
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2
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Must be able to design, develop, and apply methods and experiments at advanced level to solve forestry problems, and analyses and interpret their results
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-
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3
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Must be able to provide solutions for the country?s forestry and environmental problems by considering global, public and ecosystem conditions
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-
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4
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Must be able to setup interdisciplinary approach to reach an advanced solution for forestry problems
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-
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5
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Must be able to act in an advanced level of professional ethics and responsibility during the identification and resolution of problems encountered in forestry
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4
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6
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Must be able to do the task in a single or multi-disciplinary working groups, and be able to show effective communication
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-
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7
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Must have the ability to effective use of both information technologies and a foreign language at an advanced level
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-
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8
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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
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5
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9
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Must be able to use the tools and techniques required for forestry applications at an advanced level
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-
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10
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Must be able to think, interpret, analyse and synthesize forestry practices at an advanced level by using a three dimensional perspective
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-
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11
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Must be able to research and survey any kinds of natural resources and event, and write advanced reliable reports by using the achieved findings
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3
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12
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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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4
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