Part 1 of a 2-semester sequence on fundamental concepts, principles, and techniques of probabilistic/statistical inference. Random variables and probability distributions, expectation, limit laws, parametric vs nonparametric inference, Bayesian vs frequentist inference, point estimation, hypothesis testing, confidence sets, simulation.