Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Undervisningsspråk

English

Forkunnskapskrav

Adimtted to a PhD-program

Anbefalte forkunnskaper

  • EX-606 Researching Health and Sport Sciences: Philosophical and Methodological Foundations, 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
  • Can use Application Program Interfaces (APIs) in data acquisition analytics

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, work tasks, 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, work tasks, discussions and presentations as stated in the course description

Eksamen

Individual two-weeks home examination based on use of Application Program in Interfaces (APIs) in sport science dat acquisition, aggregation and analytics, will be assessed as pass/fail.
(Passed on minium B-level).

Tilbys som enkeltemne

Yes, for external PhD-candidates (maximum 10 seats / participants)

Tilgang for privatister

No

Annen informasjon

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

Contact persons:
Matthew Spencer (matthew.spencer@uia.no) and Stephen Seiler (stephen.seiler@uia.no)

Sist hentet fra FS (Felles studentsystem) 14. okt. 2026 12:29:15