Lecture 23: Expectation and Variance

1:18:16 Free

We continue probability with expectation and the second level of random variables, which is variance.

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.