Systems Biology, Networks and Mathematical Models
Big idea: This Grade 12 capstone connects network topology, dynamic model, parameter estimation, sensitivity analysis, model validation to evaluate complex biological systems through evidence, uncertainty, responsible inference and real-world application.
Learning goals
- network topology
- dynamic model
- parameter estimation
- sensitivity analysis
- model validation
Core concepts
network topology
The pattern of nodes and connections that determines possible routes of influence in a biological system.
dynamic model
A mathematical representation of how biological variables change through time according to stated rules.
parameter estimation
Use of observations to infer numerical values controlling model behaviour, together with uncertainty.
sensitivity analysis
Assessment of how changes in assumptions or parameter values alter model outputs.
model validation
Testing model predictions against independent observations not used to fit the model.