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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 the basics of Python programming, including input/output operations, loops, and conditional statements.
Covers conditional statements and graph theory, including proof techniques and concepts related to graphs, paths, connectivity, and gossip protocols.
Covers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
