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Covers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
Covers the basics of Python programming, including input/output operations, loops, and conditional statements.
Covers the basics of functional programming in Scala, including evaluation strategies, conditionals, and value definitions, with a focus on computing square roots with Newton's method.
Covers conditional statements and graph theory, including proof techniques and concepts related to graphs, paths, connectivity, and gossip protocols.
