Sports Science Faculty · Sport Management · Undergraduate
Course Objective
The objective of this course is to equip students with fundamental statistical concepts used in sports, the ability to analyze data, and draw meaningful conclusions from it. Furthermore, the goal is to equip students with the skills to apply statistical information to athletic performance, training planning, and managerial decisions.
Course Content
This course covers the use of statistical methods in sports. Topics covered include basic statistical concepts, data collection, classification, visualization, measures of central tendency and variability, correlation, regression, and hypothesis testing, with examples specific to sports.
Required Resources
Applied Statistics and Validity - Reliability with Examples from Sports, Health and Education Sciences Reha Alpar DETAIL PUBLISHING
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 14 | 4 | 56 |
| Midterm | 1 | 1 | 1 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 1 | 1 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | General concepts related to data analysis in sports | |
| 2 | The relationship between sports and computer sciences | |
| 3 | Determination and evaluation of data analysis and its use in sports | |
| 4 | technical-tactical competition analysis, | |
| 5 | Systematic competition analysis method with video, analysis methods in training and competitions with video and computer assistance | |
| 6 | The effects of data analysis methods on the success of coaches and athletes in sports, | |
| 7 | Measurements and evaluation of motoric features with data analysis method and its use | |
| 8 | EXAM | |
| 9 | Preparing data for analysis Selecting the sampling technique, Sample calculation | |
| 10 | Preparing data for analysis and Data entry and data organization- Selection of appropriate analysis technique | |
| 11 | Data entry and data organization - Selection of appropriate analysis technique | |
| 12 | Data analysis Parametric fit tests Association-correlation measures Comparing unrelated measures | |
| 13 | Data analysis Comparison of related measures (related samples t-test, Anova for Repeated Measures) Comparison of mixed measures (Two Way Anova for Mixed Measures) | |
| 14 | Association-relationship Comparing unrelated measurements (independent sample t-test, One Way Anova, Two Way Anova) Comparing related measurements | |
| 15 | GENERAL REPEAT | |
| 16 | FINAL EXAM |