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Stanford University

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Stanford University via Coursera

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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).

Syllabus

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

Taught by

Tim Roughgarden

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4.8 rating at Coursera based on 1276 ratings

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