Divide and Conquer, Sorting and Searching, and Randomized Algorithms
link Source: www.coursera.org
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assignment Level : Intermediate
chat_bubble_outline Language : English
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Key Information

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verified_user Fee-based Certificate
timer 16 hours in total

About the content

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).

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Syllabus

  • Week 1 - Week 1
    Introduction; "big-oh" notation and asymptotic analysis.
  • Week 2 - Week 2
    Divide-and-conquer basics; the master method for analyzing divide and conquer algorithms.
  • Week 3 - Week 3
    The QuickSort algorithm and its analysis; probability review.
  • Week 4 - Week 4
    Linear-time selection; graphs, cuts, and the contraction algorithm.
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Instructors

Tim Roughgarden
Professor
Computer Science

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Stanford University

Leland Stanford Junior University, better known as Stanford University, is a private American university located in Silicon Valley, south of San Francisco.

Its motto is "Die Luft der Freiheit weht", which means "The wind of freedom blows".

Ranked among the world's top universities in most international rankings, it enjoys great prestige.

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Coursera

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Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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