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This lecture introduces Quantum Monte Carlo methods, focusing on continuum methods for strongly correlated systems. It covers topics such as the prototypic quantum system of helium, phase diagrams of helium isotopes, imaginary time path integrals, quantum simulations, and the thermal density matrix. The lecture also discusses the Trotter's formula, quantum statistics, fixed-node method, and importance sampling. Various applications of Quantum Monte Carlo forces, challenges, variance reduction techniques, and energy-based structural optimization are explored. The session concludes with a discussion on the deuterium Hugoniot and an invitation to the next session on data-driven science.