A differential equation relates a quantity to its rate of change. Population growth, cooling coffee, a swinging spring and the charge in a circuit are all described this way, so the subject is where calculus turns into a modelling tool for science and engineering.
The first techniques are separation of variables and integrating factors for first-order equations. The simplest model, dtdy=ky, has solution y=y0ekt, which explains exponential growth and decay. Second-order linear equations with constant coefficients then describe oscillation and damping, and slope fields show the behaviour of solutions even when no formula exists.
Engineers use differential equations to design suspensions and circuits, biologists to model epidemics and populations, economists to model growth, and pharmacologists to predict how a drug's concentration falls over time. Numerical methods, which approximate solutions step by step, are how computers handle the many equations without closed-form answers.