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This lecture covers the concept of Monte Carlo moves in simulation, focusing on trial moves, translational moves, and more sophisticated moves. It explains how to enhance efficiency through biased moves and configurational bias, and compares Monte Carlo with Molecular Dynamics. The instructor discusses ensemble properties via Molecular Dynamics using the example of Ru-tris(bipy) in water, emphasizing the intrinsic dynamics to generate thermally relevant configurations.