Dynamic simulation, evolution, programming

Dynamic simulation describes the evolution of a system as time evolves by using computational/programming methods.

Examples include tracking the position of moving objects and the infection path of epidemics.

Most of these topics involve establishing a law of propagation using multi-factor criteria. Skills in modelling, model validation and computational simulation are all needed.