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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Content Designer

Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

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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