RSA is a public-key cryptosystem developed in 1977 by Rivest, Shamir and Adleman. It relies on the difficulty of factoring large prime numbers to keep messages secure, and is used to transmit shared keys for symmetric-key cryptography. It has been proven to be secure if a large enough key is used.

Princeton University

Fall 2020

An introductory course into modern cryptography, grounded in rigorous mathematical definitions. Covers topics such as secret key and public key encryption, pseudorandom generators, and zero-knowledge proofs. Requires a basic understanding of probability theory and complexity theory, and entails some programming for course projects.

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+ 29 more conceptsUC Berkeley

Fall 2022

CS 70 presents key ideas from discrete mathematics and probability theory with emphasis on their application in Electrical Engineering and Computer Sciences. It addresses a variety of topics such as logic, induction, modular arithmetic, and probability. Sophomore mathematical maturity and programming experience equivalent to an Advanced Placement Computer Science A exam are prerequisites.

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+ 32 more conceptsBrown University

Spring 2023

CSCI 0220 provides a foundation in discrete math and probability theory. Key topics include logic, set theory, number theory, combinatorics, graph theory, and probability. No prior math background assumed. Aims to develop problem solving, communication, and collaboration skills. Introduces new concepts and ways of thinking to enable analyzing problems arising in computer science. Beginner-friendly introduction to core mathematical concepts underlying many aspects of CS.

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+ 26 more conceptsBrown University

Spring 2023

Applied Cryptography at Brown University offers a practical take on securing systems. By learning foundational cryptographic algorithms and advanced topics like zero-knowledge proofs and post-quantum cryptography, students gain both theoretical insights and hands-on experience in implementing cryptosystems using C++ and crypto libraries. Label: State-of-art concepts.

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