Abstract: Differential equations are commonly used to model problems in physics, biology, finance, etc. Most of the application-driven differential equations cannot be solved analytically. In this talk, I will discuss how numerical algorithms can be designed to (or rather why certain naive numerical schemes can fail to) approximate the exact solutions; and what criteria one should keep in mind when developing numerical algorithms.