The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases â€“ especially in the early stages of an epidemic â€“ where chance events can be influential in the future of an epidemic. So, you'll be introduced to some examples of such â€˜stochasticityâ€™, as well as simple approaches to modelling these epidemics using R. You will examine how to model infections for which such â€˜population structureâ€™ plays an important role in the transmission dynamics, and will learn some of the basic approaches to modelling vector-borne diseases, including the Ross-McDonald Model. Even if you are not designing and simulating mathematical models in future, it is important to be able to critically assess a model so as to appreciate its strengths and weaknesses, and identify how it could be improved. One way of gaining this skill is to conduct a critical peer review of a modelling study as a reviewer, which is an opportunity you'll get by taking this course.