Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
link Source: www.coursera.org
list 4 sequences
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: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

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Syllabus

  • Week 1 - Week 1
    Two motivating applications; selected review; introduction to greedy algorithms; a scheduling application; Prim's MST algorithm.
  • Week 2 - Week 2
    Kruskal's MST algorithm and applications to clustering; advanced union-find (optional).
  • Week 3 - Week 3
    Huffman codes; introduction to dynamic programming.
  • Week 4 - Week 4
    Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees.
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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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