Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Undervisningsspråk

English, if any English as mother tounge participants.are enrolled

Forkunnskapskrav

Adimtted to a PhD-program

Anbefalte forkunnskaper

  • EX-605 Philosophy of Science in Health and Sport Science
  • ME-617 Systematic Reviews and Evidence Synthesis or equivalent
  • ME-626 General Quantitative Research Methods or equivalent

Læringsutbytte

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

General competence

  • Can communicate relevant knowledge through scientific and popular scientific channels

Innhold

  • General to sport-specific: Progression from laboratory to field-based assessments
  • Testing and monitoring athletes in endurance, strength/power and team sports settings
  • Using day-to-day data to optimize individual training load: Stress/Recovery balance
  • Opportunities and limitations of using Artificial Intelligence in sport
  • Development and opportunities with distributed/crowdsourcing data methods
  • Effective interpretation and presentation of data for coaches and athletes
  • The evolution of sport and the future of e-sport

Undervisnings- og læringsformer

Over five days, teaching and learning methods will consists of a combination of lectures, group work, practical workshops, discussions, and presentations based on course topics and the candidates own research experiences and work.

Vilkår for å gå opp til eksamen

Participation in compulsory lectures, group work, practical workshops, discussions and presentations as stated in the course description

Eksamen

Individual two-weeks home examination will be assessed as pass/fail.

Tilbys som enkeltemne

No

Tilgang for privatister

No

Annen informasjon

Contact persons: Matthew Spencer (matthew.spencer@uia.no) and Stephen Seiler (stephen.seiler@uia.no)
Sist hentet fra FS (Felles studentsystem) 15. okt. 2026 14:07:03