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This lecture covers the properties and applications of generating functions, including the Laplace transform, moment-generating functions, and their relationship to probability distributions. The instructor explains how to calculate expectations and variances using moment-generating functions and demonstrates the injection between cumulative distribution functions and moment-generating functions.