Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RESEARCH TECHNIQUES IN SPORT SCIENCES 75783001 3 + 0 3.0 7.0

Prerequisites None

Language of Instruction
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Dicle ARAS
Assistants
Goals The philosophy of science , research , population , selection of samples and problems , data collection , analysis and report writing topics to learn
Course Content To learn research methods and stages, : Selected to create a housing according to the research method ranking research model, often people grasp the ethical subject planning application research in demanding sports science usage and evaluation and to create
Learning Outcomes 1) 1. Knowledge: learn scientific research methods and stages
2) 2. Skills : Creating a matter of research methods appropriate to the selected model of research ranking
3) 3. Attitude: Many times people grasp the planning , implementation and evaluation of research ethics in sports that require the use of science subjects and to create

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Presentation of course , superficial information about the content. The meaning and importance of research Lecture; Problem Solving; Demonstration
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Science and research - What is research? - What are the aims pursued in research Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week Types of Research Lecture; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Planning principles of Research Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week production problems and ideas Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week Identification of the Problem Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Midterms Question Answer; Problem Solving
Brainstorming
Brain Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
8. Week Identifying research methods Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Population and sample information and issues Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week And examples of concepts about the universe - Sampling Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Determination of the optimal sample size - reducing the number of sample paths Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Data types and data collection methods - Data definitions and sources - Data Types Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Data collection and registration of regulation -Data - sorting and grouping Lecture; Problem Solving; Discussion
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Final exam Question Answer; Problem Solving
Brainstorming
Brain Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)

Sources Used in This Course
Recommended Sources
1- Arıkan R. Araştırma Yöntem ve Teknikleri. Nobel Yayınevi, 2013.
2- Kırbaş D, Çevik FE. Bilimsel Araştırma Yöntemleri ve Araştırma Etiği. Nobel Yayınevi, 2017.
3- Alpar R. Spor Bilimlerinde Uygulamalı İstatistik, Nobel Yayınları, 2001.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000
PY55000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 1 60
Homework 1 30
Presentation (Including Preparation Time) 1 30
Time to prepare for Midterm Exam 1 20
Time to prepare for Final Exam 1 30
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload