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 GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING Masters with Thesis Course Catalog http://www.orman.ktu.edu.tr/om/index.html Phone: +90 0462 3772805 FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of FOREST ENGINEERING / Masters with Thesis

 FBE5006 Advanced Statistics 3+0+0 ECTS:7.5 Year / Semester Spring Semester Level of Course Second Cycle Status Elective Department Prerequisites and co-requisites None Mode of Delivery Face to face Contact Hours 14 weeks - 3 hours of lectures per week Lecturer -- Co-Lecturer Language of instruction Professional practise ( internship ) None The aim of the course: to aware the students about the statistical concepts and parameters, to have the students gain abilities to adapt the univariate and multivariate statistical methods to any kind of data set, to have the students gain abilities to solve the statistical problems using SPSS program
 Programme Outcomes CTPO TOA Upon successful completion of the course, the students will be able to : PO - 1 : to know the statistical parameters and concepts and how to use them PO - 2 : to find out the most suitable statistical method for the problem faced to PO - 3 : to be able to solve any statistical problem using SPSS program. CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome
 Contents of the Course
 Basic statistical concepts and parameters, sampling and statistical estimation theory, statistical decision theory (t-test, F test etc.), ANOVA, corelation and simple linear regression, non parametric tests, multivariate normal distribution and hypothesis testing, Multi ANOVA, multivariate linear regression, Logistic regression, trend surface analysisi, cluster techniques, discriminant anaylsis, PCA, Factor analysis, multivariate scaling, correspondance analysis, canonical corelation.
 Course Syllabus Week Subject Related Notes / Files Week 1 Basic statistic parameters Week 2 Statistical decision theory T-test (Student test) F-test Week 3 Analysis of variance One-way ANOVA Week 4 Correlation and regression analysis Simple correlation Simple linear regression Week 5 Non-parametric test Mann-Whitney U test Friedman test Week 6 Introduction to eigenvector methods including factor analysis -Q-Mode factor analysis -R-Mode factor analysis Week 7 multivariate normal distribution and hypothesis testing Week 8 Quiz Week 9 Principle component analysis Week 10 Discriminant Functions Week 11 Multi ANOVA Week 12 Multivariate linear regression, Logistic regression Week 13 Cluster Analysis Week 14 Correspondence analysis Week 15 Canonical correlations Week 16 Final exam
 Textbook / Material
 1 Tüysüz, N., Yaylalı-Abanuz, G., 2012; Jeoistatistik-Kavramlar ve Bilgisayarlı Uygulamalar, KTÜ Yayınları, Yayın No: 220, 382 s. 2 Tüysüz, N., Yaylalı-Abanuz, G., 2012; Jeoistatistik-Kavramlar ve Bilgisayarlı Uygulamalar, KTÜ Yayınları, Yayın No: 220, 382 s.