- Modeling of medical systems using systems of differential equations. (k1-k6)
- Coding in languages like Python or MATLAB for model creation. (k1-k6)
- Choosing and applying techniques for solving differential equations. (k1-k5)
- Presenting model outputs meaningfully.(k1-k3)
- Adjusting model parameters for biological accuracy. (k1-k5)
- Model validation, i.e. testing models against empirical data. (k1-k5)
|
- Biomedical systems and processes
- Fundamentals of computational simulation
- Mathematical modeling principles
- Biophysical and pharmacokinetic modeling
- Finite Element Analysis (FEA)
- Machine learning in predictive modeling
- Sensitivity and uncertainty analysis
- Physiological feedback mechanisms
- Clinical and ethical implications of modeling
- Software for computational medicine
|
