Scientific Computing in Biomechanics and Motor Control
Marcos Duarte
This repository is a collection of lectures and code on scientific computing and data analysis in Biomechanics and Motor Control. The lectures are written using the IPython Notebook, part of the Python ecosystem for scientific computing. You can view these lectures in different ways: simply read on line by clicking on the links below; or download a single notebook or all the stuff or yet fork this entire repository using the GitHub resources and run the notebooks in your computer or in the cloud.
This material is far from finished.
- Python for scientific computing
- How to install Python
- Python tutorial
- Version control with Git and GitHub
- Code structure for data analysis
- Curve fitting
- Propagation of uncertainty
- Frequency analysis
- Change detection
- Kinematics
- Frame of reference
- Kinematics of a particle
- Angular kinematics (2D)
- Rigid-body transformations (2D)
- Rigid-body transformations (3D)
- Kinetics
- Fundamental concepts
- Body segment parameters
- Free body diagram
- Biomechanical analysis of vertical jumps
- Gait analysis (2D)
- Force plates
This work is licensed under the Creative Commons Attribution 4.0 International License.