6.1200J Mathematics for Computer Science
6.1200J Mathematics for Computer Science (Spring 2024, MIT OCW). Instructors: Prof. Eric Demaine, Dr. Zachary Abel, and Dr. Brynmor Chapman. 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. (from ocw.mit.edu)
| Lecture 21 - Random Variables |
The probability mass function and the cumulative distribution function are two different (equivalent!) ways to express the probability distribution of an RV. It's often used to describe random variables by their distributions.
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