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Mathematics for Computer Science (Lehman, Leighton, and Meyer)

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  • Page ID
    43989

    • Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer
    • Google and Massachusetts Institute of Technology via MIT OpenCourseWare
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    This text serves as an introduction to discrete mathematics, probability, and mathematical thinking for computer scientists. This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds:

    1. Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations.
    2. Discrete structures: graphs, state machines, modular arithmetic, counting.
    3. Discrete probability theory.

    Students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.

    Thumbnail: Image by OpenCourseWare, based on an image by Nick Matsakis. (CC BY-NC-SA; OpenCourseWare)

    This page titled Mathematics for Computer Science (Lehman, Leighton, and Meyer) is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Eric Lehman, F. Thomson Leighton, & Alberty R. Meyer (MIT OpenCourseWare) .