HEL617 Technology in sport: Making decisions in a time of data overload

On successful completion of the course, the candidate will have acquired:

Advanced knowledge about:

• Current technologies and data collection methods employed in high-level sports (endurance, strength/power and team sports)
• Relevance and interpretation of laboratory versus field-based assessments
• Training data analytics applied to performance monitoring and development
• Distributed data collection approaches
• Validity and reliability of commonly used metrics in high-level sport
• Integrating and interpreting physiological and psychological metrics
• Artificial Intelligence/machine learning in sport science

Skills

• Can critically evaluate, disseminate results within data analysis and interpretation in high-level sport
• Can critically evaluate assessment methods used for physiological and psychological data metrics in high-level sports
• Can formulate relevant research questions and plan the implementation of data analysis and interpretation in high-level sport research and interventions
• Can use Application Program Interfaces (APIs) in data acquisition analytics

General competence

• Can communicate relevant knowledge through scientific and popular scientific channels

• EX-606 Researching Health and Sport Sciences: Philosophical and Methodological Foundations, or equivalent
• ME-626 General Quantitative Research Methods, or equivalent

The PhD-course is offered 17 - 21 March, 2025.
Physical or digital participation.

Contact persons:
Matthew Spencer ([email protected]) and Stephen Seiler ([email protected])