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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING

Course Catalog
http://www.harita.ktu.edu.tr
Phone: +90 0462 3772707
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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
YHEY1004Statistics2+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of WILDLIFE ECOLOGY and MANAGEMENT
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 2 hours of lectures per week
LecturerDr. Öğr. Üyesi İbrahim YILDIRIM
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
To teach students basic statistical skills and find solutions in relaiton to a number of statistical promlems in forestry and other sciences
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Identify and explain the basic statistical concepts5,61,3
LO - 2 : Implement some statistical analysis in relation to data5,61,3
LO - 3 : Compare the statistically independent data sets 5,61,3
LO - 4 : Apply and analyze single-variable parametric and non-parametric tests5,61,3
LO - 5 : Formularize statistically a real problem and solve and analyze it5,61,3
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), LO : Learning Outcome

 
Contents of the Course
Definition of statistics, basic concepts of statistical significance and statistical data, and frequency distributions, averages, dispersion and propagation measurements, theoretical distributions, sampling techniques, parametric and non-parametric significance tests, analysis of variance, correlation and regression analysis, planning and test pattern to try creation
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to statistics
 Week 2Classification of data
 Week 3Central tendency measures (Arithmetic mean, geometric mean, mode and median)
 Week 4Variance, standard deviation, standard error of mean, percent error, coefficient of variation
 Week 5Theoretical Distributions
 Week 6Hypothesis Tests (One-sample t-test,Independent-samples t-test)and SPSS application
 Week 7Hypothesis Tests (Paired-samples t-test) and SPSS application
 Week 8Chi-Squre Tests (Independence and homogenity tests)and SPSS application
 Week 9Mid-term exam
 Week 10Appropriateness to normal distribution and SPSS application
 Week 11One-way anova and SPSS application
 Week 12Multi-way anova and SPSS application
 Week 13Correlation analysis, Regression analysis and SPSS application
 Week 14Presentation of Homework
 Week 15Sampling Techniques
 Week 16End-of-term exam
 
Textbook / Material
1Uygulamalı İstatistik Yöntemler, Batu, F., KTÜ, Orman Fakültesi, Fakülte Yayın No: 22, Trabzon, 1995.
 
Recommended Reading
1Bilimsel Araştırmalarda İstatistik, Ercan, M., Orman Bakanlığı, Kavak ve Hız. Gel. Tür Orm. Ağç. Araş. Ens. Müd., Yayın No: 211, İzmit 1997.
2Bilimsel Araştırma Metotları ve Uygulamalı İstatistik, Türkbal, A., Atatürk Üniv. Yay. No: 640, Erzurum, 1987.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 06.04.2016 1 30
Presentation 14 11.05.2016 4 20
End-of-term exam 16 25.05.2016 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 4 14 56
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 8 2 16
Arasınav 1 1 1
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 8 3 24
Dönem sonu sınavı 1 1 1
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load126