The coverage ranges from the most fundamental concepts of probability and statistical inference (including hypothesis testing, confidence intervals, linear regression, feature selection, model improvement), to programming in C++ and Python, and then to basic Ordinary Differential Equations (ODEs), Monte Carlo simulations, and Stochastic Differential Equations (SDEs). Any single question would be a simple and basic one within its own discipline. However, combining all of these topics together, the complexity is not trivial. Each topic is not overly difficult on its own, but the broad coverage and the requirement to truly understand how they work present a challenge. There will be continuous follow-up questions to probe the depth of your understanding.