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Coursera: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

 with  Tim Roughgarden
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.

0 Student
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Cost Free Online Course (Audit)
Pace Upcoming
Institution Stanford University
Provider Coursera
Language English
Certificates Paid Certificate Available
Calendar 4 weeks long
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