Lecture 17: More Counting Techniques

1:20:56 Free

We continue the counting techniques by looking at the pigeonhole principle to solve counting problems.

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

Hypha Learn

Hypha Learn

Free university lectures and educational content, curated and republished from public sources.

4

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.