These notes provide an intuitive introduction to Hamiltonian Monte Carlo (HMC). They emphasize the motivation behind the algorithm, beginning with the typical set and the limitations of random-walk methods, and then introduce the augmented state space, Hamiltonian dynamics, and the leapfrog integrator. The notes are intended as an educational resource rather than a comprehensive or rigorous treatment.