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This lecture covers the fundamental concepts of probability and statistics, providing mathematical tools for the study of random events, network modeling, stochastic algorithms, and more. Topics include distributions, expectation, variance, statistical inference, likelihood, and combinatorics. The course also discusses the importance of understanding material rather than memorization during exams.