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
  • Faculty of Sport Sciences
  • Department of Coach Training in Sports
  • Course Structure Diagram with Credits
  • Research in Sports Science
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ARY403 - Research in Sports Science
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 4.0
Course Instructor(s) DOÇENT GÜLSÜN GÜVEN
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course
Recommended Reading List
Assessment methods and criteria Midterm exam (40%), Homework (20%), Final Exam (50%)
Work Placement Not Applicaple
Sustainability Development Goals Quality Education

Content

Weeks Topics
Week - 1 What is knowledge and scienc? The main aiam and qualification of science? What is the function of sceince?
Week - 2 The impotance and improvement of scientific research. The processs of scientific research.
Week - 3 Scientific research process.
Week - 4 Defining problem in sport researches.
Week - 5 Creating hypothesis and defining nethods in sport researches.
Week - 6 Chosing sampling and sampling methods.
Week - 7 Gathering data in sport reearch.
Week - 8 Analysing and reporting data in sport research
Week - 9 Analysing and reporting data in sport research
Week - 10 What is statistic? What is qualitative and quantitative methods? Classification of data.
Week - 11 Data analyzing 1.Frequency, Percent, 2.Mean, Mode, Median)
Week - 12 Data analyzing 3. Masures of dispersion
Week - 13 Data analysing about differences among variables (T- test, One-way Anova
Week - 14 Data analysing about relationships among variables (correlation)

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Brain Storming
  • Report Preparation and/or Presentation

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
  • 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