Modeling with Stochastic Simulation - Lecture 10

This lecture demonstrates how to construct and run stochastic simulations in Julia using individual-based models and Bernoulli random variables. It includes visualization of component failure and an intuitive derivation of the mean's time evolution.

Syllabus

Introduction.
Julia features.
Individual-based ("microscopic") models.
Modelling time to success (or time to failure).
Visualizing component failure.
String interpolation.
String interpolation (HTML example in Pluto).
Math: Bernoulli random variables.
Julia: Make it a type!.
Running the stochastic simulation.
Time evolution of the mean: Intuitive derivation.