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Energy Flow Models 1st YEAR

To provide the student with knowledge about energy flow models, and so to enable the student to apply this knowledge in the modelling of human endurance performance.

Dr. J.J. de Koning

Course Description

Research in which exercise physiology and biomechanics are combined as a 'toolbox' is apparently unique and successful. This course familiarizes the student with one branch of this approach. Energy flow models, based on power equations, will be used to study performance determining factors in endurance sports. This course explains the technique of modelling, how parameter values are obtained from experiments and how simulations with the model can be done. The student will construct a model of an endurance athlete to study the effect of parameter values on performance in cycling, speed skating and running. The models will be made in MATLAB. Knowledge of MATLAB is necessary to be successful in this course.

Study Characteristics

  • Course Description & Study Characteristics

    Course Description

    Research in which exercise physiology and biomechanics are combined as a 'toolbox' is apparently unique and successful. This course familiarizes the student with one branch of this approach. Energy flow models, based on power equations, will be used to study performance determining factors in endurance sports. This course explains the technique of modelling, how parameter values are obtained from experiments and how simulations with the model can be done. The student will construct a model of an endurance athlete to study the effect of parameter values on performance in cycling, speed skating and running. The models will be made in MATLAB. Knowledge of MATLAB is necessary to be successful in this course.

    Study Characteristics

    • Discipline: Human Movement Sciences: Sport, Exercise and Health (Research)
    • Type of education: Lectures and guided practical
    • Academic skill: N/A
    • Graduate School: N/A
    • Start date: TBD
    • End date: TBD
    • Minimum number of students: N/A
    • Maximum number of students: N/A
    • Admission criteria: Contact the course coordinator for information on admission criteria: Dr. J.J. de Koning
    • Concluding assessment: N/A
    • Assessment type: N/A
    • With Certificate: N/A
    • Schedule info: Lectures and guided practical; 84 hours (from which 28 practical, 6 lecture, 4 presentations and 46 self study)
    • Number of lessons: N/A
    • Total course duration in hrs.: 84 hours
    • Sign up period: N/A
    • Anticipated hrs of study: 46 hours self study
    • Available to: PhD students VU (and VU RMA students)

Would you like to register or want to know more?

Please contact the course coordinator dr. J.J. de Koning:

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