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About Study Course

ECTS:8
Course supervisor:Katrīna Volgemute
Study type:Full time
Course level:Master's
Target audience:Public Health; Sports Science; Sports Trainer
Language:Latvian
Study course description Full description, Full time
Branch of science:Health sciences

Objective

Develop in-depth knowledge and practical skills in the use of sports technologies, digital solutions and data analytics in planning, managing and evaluating the training process. The course encourages data-based decision-making using smart devices and sensors that allow athletes to be evaluated outside laboratory conditions -- in training and competitive environments. AI and machine learning techniques in data processing, model building and athletic performance prediction are also being learned.

Prerequisites

• Basic knowledge of sports science and training process planning.• basic knowledge of statistics and data processing.• Prior experience with digital tools (e.g. Excel, SPSS, RSTUDIO Statistics) is desirable.

Learning outcomes

Knowledge

1.Describe sports technologies and their applicability in training, competition and rehabilitation processes.

Skills

1.Analyses and interprets data from wearable, portable devices and digital surveillance systems.

Competence

1.Analyse multimodal sports data and develop data-based recommendations for athletes to optimize the training process.

Study course planning

Planning period:Year 2027, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Sports Science2Master'sRequired