On successful completion of the course, the students should be able to:
Demonstrate knowledge about key technologies and digital tools that are used in sports training and performance and understand their strengths and limitations.
Summarize and interpret data from key training and performance measurement technologies.
Implement and guide the use of basic sports-based monitoring technologies in diverse settings, including E-sports.
Basic concepts: using technology to quantify the physics, physiology, and psychology of sports
The evolution of technologies designed to enhance sports training and performance:
Home and field based physiological measurements
Embedded sensors for movement tracking and analysis
Real-time movement analytics and feedback
Training and performance data analytics
Quantifying the training process: training load, training stress, and training strain
Quantifying the recovery process: sleep, nutrition, mental fatigue, physical fatigue
Combining quantitative and qualitative methods to optimize performance development
Teaching methods will include lectures, laboratory demonstrations, and group project work using both physical and digital meetings. The expected total volume of student work for this course is 135 hours.
Students will submit a portfolio of individual and group assignments during the course which will be evaluated on a approved/not approved basis. Satisfactory performance on these assignments will qualify the student for the final examination.
Assessment methods and criteria
The final assessment will be an individual 3 hour written examination requiring short answers, multiple choice responses and brief case evaluations. Graded assessment.
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.