Algorithms: Design and Analysis

Algorithms: Design and Analysis – Stanford School of Engineering

In this course you will learn several fundamental principles of algorithm design. You’ll learn the divide-and-conquer design paradigm, with applications to fast sorting, searching, and multiplication. You’ll learn several blazingly fast primitives for computing on graphs, such as how to compute connectivity information and shortest paths. Finally, we’ll study how allowing the computer to “flip coins” can lead to elegant and practical algorithms and data structures.

Learn the answers to questions such as: How do data structures like heaps, hash tables, bloom filters, and balanced search trees actually work, anyway? How come QuickSort runs so fast? What can graph algorithms tell us about the structure of the Web and social networks? Did my 3rd-grade teacher explain only a suboptimal algorithm for multiplying two numbers?

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Comments (3)

  • Natalia

    I would love to learn more about Algorithms: Design and Analysis
    I’m fronted developer for 5 years
    I believe this course will give me new value to my experience and bring me to new level
    Thank you

  • Natalia

    Algorithms: Design and Analysis – I am very interested in , I’m fronted developer for 5 years,
    looking for new skills to develop

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