Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Statistics
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Circular Data Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST507 - Circular Data Analysis
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery Face to face
Prerequisites This course has no prerequisites or co-requisites.
Courses Recomended -
Required or Recommended Resources Jammalamadaka, S.R. ve SenGupta, A., (2001) Topics in Circular Statistics, World Scientific Publishing Co. Pte. Ltd., London, England.Fisher, N.I., (1993) Statistical Analysis of Circular Data, Cambridge University Press, Cambridge, Great Britain.
Recommended Reading List Peker, K.Ö., (2002) Dairesel Veriler ve Ardışık Testlerde Kullanımı, Anadolu Üniversitesi Fen Bilimleri Enstitüsü İstatistik Anabilim Dalı, Eskişehir.Mardia, K.V. ve Jupp, P.E., (2000) Directional Statistics, John Wiley & Sons Ltd., Chichester, England.
Assessment methods and criteria 1 Midterm and 1 Final. Exams will be in classical exam type.
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Graphically representation of circular data
Week - 2 Frequency distribution types for circular data
Week - 3 Circular data examples
Week - 4 Descriptive Statistics: Measures of location
Week - 5 Measures of concentration and dispersion
Week - 6 Trigonometric moments
Week - 7 Circular Probability Distributions: Uniform distribution
Week - 8 Cardioid distribution, Wrapped normal distribution
Week - 9 Circular normal distribution
Week - 10 Parameter Estimation
Week - 11 Mean Direction and Concentration Tests: One sample tests
Week - 12 Two and multi-sample tests
Week - 13 Circular Correlation and Regression: Correlation measures
Week - 14 Regression models

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Competences
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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