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This course builds the discrete mathematics behind computer science and engineering. Definitions and proofs come first, with applicable methods following them, so you learn to reason rigorously about the structures software relies on.
Recursive definitions, state machines, recurrences and generating functions may also be covered. Readers who want a mathematical foundation for algorithms and systems design will find it directly relevant. The emphasis on precise definitions makes it a useful companion to any later course that relies on proofs about graphs or probability.
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.
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