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Coursera: Graph Search, Shortest Paths, and Data Structures

 with  Tim Roughgarden
The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).

Syllabus

Week 1
Breadth-first and depth-first search; computing strong components; applications.

Week 2
Dijkstra's shortest-path algorithm.

Week 3
Heaps; balanced binary search trees.

Week 4
Hashing; bloom filters.

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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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