The course provides general knowledge and skills in applying numerical methods and Python programming to solve fundamental mathematical models in mathematical finance, such as derivative approximation, integral approximation, solving first-order differential equations and stochastic differential equations, finite difference methods for partial differential equations, Monte Carlo simulation, and Quasi Monte Carlo simulation.