Lecture 19: Conditional Probability

1:20:44 Free

In the last lecture, we learned how to compute probabilities using the Tree Method. In this lecture, we will see how some of our tools for reasoning about sizes of sets carry over naturally to the world of probability.

Source: Brynmor Chapman, 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.