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Overview
About the course
This course is intended for those working with biomechanical movement analysis in sports, rehabilitation, orthopedics or physical therapy, who use kinematics to quantitatively evaluate human motion in 2D or 3D.
Quantitative human movement analysis is fast becoming a standard tool in clinics and sports labs. However, many of the available tools yield generic reporting without clear information on the underlying data processing principles. This can lead to misinterpretations which could result in incorrect advice regarding training, correction, or even surgical intervention.
The knowledge offered in this Kinematics - Analysis and Interpretation of Human Motion Data course at Delft University of Technology (TU Delft) will help you give better guidance based on quantitative data analysis.
Programme Structure
Course syllabus:- The pose of a Rigid Body
- Rotations in 3D
- Two body segments in 3D
- Recap and Workflow
- Calibration methods
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
Starts: Future dates to be announced
Language
English
Credits
3 alternative credits
Continuing Education Units
Delivered
Online
Disciplines
Data Science & Big Data Kinesiology View 11 other Short Courses in Data Science & Big Data in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is primarily geared towards working professionals.
Prerequisites:
- Basic knowledge of linear algebra
- Knowledge of the human skeletal anatomy
- Basic knowledge of programming
Tuition Fee
To always see correct tuition fees
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International
495 EUR/fullTuition FeeBased on the tuition of 495 EUR for the full programme during 1 months. -
EU/EEA
495 EUR/fullTuition FeeBased on the tuition of 495 EUR for the full programme during 1 months.
Funding
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