Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
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 -
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
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations