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Covers statistical inference, machine learning, SVMs for spam classification, email preprocessing, and feature extraction.

Covers curvilinear coordinates and area calculations using double integrals with examples of different curves.

Covers unsupervised learning with PCA and K-means for dimensionality reduction and data clustering.

Explores non-attributable email using forward-forgeable signatures and the legal risks faced by security researchers.

Covers the modeling of territory through simplification and schematization.

Covers integral closures, focusing on Eisenstein primes and their properties.

Covers differential equations, heat diffusion, and advanced analysis for engineers.

Explores Ordinary Differential Equations definitions, solutions, polynomial degrees, autonomous solutions, maximal solutions, and Cauchy's problem.

Explores cognitive load, metacognition, learning environments, and inductive reasoning, with examples of exam questions and the city of Godthåb.