Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
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
  • Numerical Basics of Sports
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

  • To be able to do the numerical calculations needed in sports
  • To be able to calculate body composition using different formulas
  • To be able to explain the principles of body mass index (BMI), fat percentage, and lean body mass
  • To be able to use different methods (e.g., Jackson-Pollock, Siri, Brozek equations) for estimating body composition
  • To be able to interpret the results and relate them to sport performance
  • To be able to perform motor performance (motoric) test calculations
  • To be able to calculate force, torque, work, and power during sport-specific movements
  • To be able to analyze kinematic data (velocity, acceleration, displacement)
  • To be able to use biomechanical equations to evaluate technique efficiency
  • To be able to analyze heart rate–based performance tests
  • To be able to calculate maximum heart rate and training zones
  • To be able to evaluate Yo-Yo Intermittent Recovery Test results
  • To be able to analyze 30-15 Intermittent Fitness Test (30-15 IFT) data for aerobic capacity
  • To be able to evaluate training load and monitoring methods
  • To be able to calculate acute and chronic workload ratios (ACWR)
  • To be able to analyze repeated sprint ability (RSA) test outcomes
  • To be able to integrate session-RPE and heart rate data into training load analysis
  • To be able to integrate numerical data for sport performance evaluation
  • To be able to combine body composition, motor tests, and biomechanical results
  • To be able to interpret data for athlete profiling and performance monitoring
  • To be able to apply statistical approaches (mean, SD, reliability) for data evaluation

  • 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