Lecture 20: Independence

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This lecture examines three of the most common types of independence: mutual independence, pairwise independence, and conditional independence.

Source: Erik Demaine, Mathematics for Computer Science (MIT: OpenCourseWare). Licensed under CC BY-NC-SA 4.0.

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MIT 6.1200J: Mathematics for Computer Science

This course covers elementary discrete mathematics for science and engineering, with a focus on mathematical tools and proof techniques useful in computer science. Topics include logical notation, sets, relations, elementary graph theory, state machines and invariants, induction and proofs by contradiction, recurrences, asymptotic notation, elementary analysis of algorithms, elementary number theory and cryptography, permutations and combinations, counting tools, and discrete probability.