Rapor Tarihi: 11.04.2026 00:21
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| - | BESÖ504 | Turkish | Compulsory | 3 + 0 | 3.0 | 9.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Face to face |
| Course Coordinator | Doç. Dr. Hande BABA KAYA |
| Instructor(s) | |
| Goals | Determination and evaluation of data analysis in sports, technical-tactical competition analysis, systematic competition analysis method with video, analysis methods in training and competitions with the help of video and computer, the effect of coaches and athletes on their success, measurement and evaluation of motoric characteristics and their use. introduction to computer hardware, text processing, computer-aided data collection, statistical software and programming. |
| Course Content | The concept of data analysis in sport, The use of data analysis in sport, Competition analysis, Data analysis methods in sport, Data analysis of data topics constitute the content of this course. |
| # | Öğrenme Kazanımı |
| 1 | Explains basic information about data analyses in sport |
| 2 | The use of data analyses in sport, technical-tactical aspects of competition analysis, explains the connection |
| 3 | Provides computer-aided data collection related to the measurement, evaluation and utilisation of motoric characteristics in sport |
| 4 | Uses computer programmes related to data analysis effectively |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | General concepts related to data analyses in sport | Presentation (Preparation), Practice, Lecture, Question and Answer, Discussion |
| 2. Week | Identification and evaluation of data analyses and their use in sport | Research, Practice, Lecture, Question and Answer |
| 3. Week | Competition analysis from technical-tactical point of view | Practice, Lecture, Question and Answer |
| 4. Week | Systematic competition analysis method with video, video and computer aided analysis methods in training and competitions | Presentation (Preparation), Practice, Lecture, Question and Answer |
| 5. Week | The effect of data analysis methods on the success of coaches and athletes in sport | Practice, Lecture, Question and Answer, Discussion |
| 6. Week | Measurement and evaluation of motoric characteristics by data analysis method and its use | Lecture, Question and Answer, Discussion |
| 7. Week | Introduction to computer hardware, text processing, computer aided data collection, | Practice, Lecture, Question and Answer, Discussion |
| 8. Week | Introduction to computer hardware, text processing, computer-assisted data collection, | Lecture, Question and Answer, Discussion |
| 9. Week | Preparation of data for analysis Selection of sampling technique, Sample calculation | Lecture, Question and Answer, Discussion |
| 10. Week | Preparation of data for analysis and Data entry and data organisation - Selection of appropriate analysis technique | Lecture, Question and Answer, Discussion |
| 11. Week | Data entry and data organisation - Selection of appropriate analysis technique | Research, Practice, Lecture, Question and Answer |
| 12. Week | Data analysis Parametric fit tests Association-relationship measures Comparison of unrelated measures | Research, Practice, Lecture, Question and Answer |
| 13. Week | Data analysis Comparison of related measures (paired sample t test, ANOVA for repeated measures,) Comparison of mixed measures (Two Way ANOVA for mixed measures) | Research, Practice, Lecture, Question and Answer, Discussion |
| 14. Week | Association-relationship Comparison of unrelated measures (independent sample t test, One Way Anova, Two Way Anova,) Comparison of related measures | Research, Presentation (Preparation), Practice, Lecture, Question and Answer, Discussion |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Has the technological knowledge required by the field of physical education and sport. | ✔ | |||||
| 2 | Knows scientific research methods in the field of physical education and sport. | ✔ | |||||
| 5 | To be able to apply scientific methods and techniques, to be able to analyse and evaluate data. | ✔ | |||||
| 5 | To be able to apply scientific methods and techniques, to be able to analyse and evaluate data. | ✔ | |||||
| 6 | Plans and conducts scientific research, writes the report of his/her research | ✔ | |||||
| 11 | Publishes a scientific article in a national journal or presents it at a scientific meeting. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 1 | 1 | 1 | 1 |
| PY2 | 1 | 1 | 1 | 1 |
| PY5 | 1 | 1 | 1 | 1 |
| PY6 | 1 | 1 | 1 | 1 |
| PY11 | 1 | 1 | 1 | 1 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Research | 4 | 10 | 40 |
| Presentation (Preparation) | 2 | 8 | 16 | |
|
Sınavlar |
Midterm | 1 | 15 | 15 |
| Homework | 1 | 17 | 17 | |
| Homework Preparation | 1 | 17.5 | 17.5 | |
| Final | 1 | 8 | 8 | |
| Practice | 1 | 10 | 10 | |
| Classroom Activities | 8 | 8 | 64 | |
| Total Workload | 229.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 9.0 | ||
