Modeling with stochastic simulation | MIT Computational Thinking Spring 2021 | Lecture 10

For more info on the Julia Programming Language, follow us on Twitter: https://twitter.com/JuliaLanguage Contents 00:00 Introduction 00:54 Julia features 01:44 Individual-based ("microscopic") models 02:39 Modelling time to success (or time to failure) 05:34 Visualizing component failure 06:43 String interpolation 21:14 String interpolation (HTML example in Pluto) 28:08 Math: Bernoulli random variables 34:54 Julia: Make it a type! 42:34 Running the stochastic simulation 48:59 Time evolution of the mean: Intuitive derivation S/O to https://github.com/r2cp for the video timestamps! Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/YouTubeVideoTimestamps Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/YouTubeVideoSubtitles