COVID-19 Case Modelling in Julia completed as part of the MIT Math 6S083 Course.
The files and their contents are as follows:
MITCOVID1 - Exploratory Data Analysis. Fetching, cleaning, exploring the Johns Hopkins University (JHU SSE) Global Novel Coronavirus (COVID-19) Dataset.
MITCOVID2 - Understanding and modelling exponential and logistic growth in case numbers.
MITCOVID3 - Using probability concepts such as Bernoulli processes, Monte Carlo method to understand recovery processes.
MITCOVID5 - Understanding 'Random Walk' or Stochastic Processes.
MITCOVID6 - Characterising variablity in stochastic processes, defining new types in Julia.