This lecture introduces the Ising model, a model for ferromagnetism defined on a grid of random variables. The model considers configurations of elements with specific interactions and external magnetic fields. The partition function normalizes the mass function, summing over all possible configurations. The lecture also covers discrete random vectors, density functions, marginal densities, and independent variables. The Ising model is explored in detail, emphasizing its application in understanding ferromagnetic behavior.