The course is connected to the following study programs

Teaching language

English

Recommended prerequisites

First year of Bachelor’s programme in Academic Esports, or first year of Bachelor’s programme in Exercise and Sports Science

Course contents

In this course students will develop their practical understanding of validity, reliability, and usability within the forest of technologies used to quantify training, performance, and health as an athlete in sport/e-sport. Through the lens of holistic training monitoring, we will explore the monitoring technology development process. This course will help students make informed decisions when assessing and integrating various technologies into their own workflow as E-sport/sports athlete, as coach, or wherever human health and performance is involved.

  • 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

Learning outcomes

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.

Examination requirements

Students will submit a portfolio of individual and group assignments during the course which will be evaluated on an approved/not approved basis. Satisfactory performance on these assignments will qualify the student for the final examination.
See Canvas for details.

Teaching methods

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.

Evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Assessment methods and criteria

The final assessment will be a portfolio of assignments through the semester, completed individually or in groups, with graded assessment.
See Canvas for details.

No new/postponed portfolio examination is arranged. The portfolio examination can only be retaken the next time the course is offered.

Last updated from FS (Common Student System) June 30, 2024 5:36:23 PM