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Learn elementary discrete mathematics for computer science and engineering with this online course from MIT. Topics include logic, sets, graphs, congruences, asymptotics, counting, probability and more.
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality.
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This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations. Discrete structures: graphs, state machines, modular arithmetic, counting.
Another kind of compound statement occurs frequently in mathematics and computer science. Recall Fermat’s Little Theorem (Theorem 2.21): Ifpis a prime, thenap−1modp= 1 for each nonzeroa∈Z. p. Fermat’s Little Theorem combines two constituent statements: •pis a prime, and •ap−1modp= 1 for each nonzeroa∈Z.
This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations. Discrete structures: graphs, state machines, modular arithmetic, counting.
Course. Discrete Math. Explore set operations, proofs, recursion, and more in this introduction to discrete math — the math of computer science! Start. 13,803 learners enrolled. Skill level. Intermediate. Time to complete. 5 hours. Certificate of completion. Included with paid plans. Prerequisites. 1 course. About this course.
19 de mar. de 2019 · Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn.
