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This lecture covers the basics of probability theory, including introduction to probabilities, random variables, approximation, convergence, and statistics. It explains the concept of events, intersections, unions, and infinite intersections in probability theory. The lecture also introduces the concept of sample space, events, and probability laws in the context of random experiments.