Online Course
Graph Search, Shortest Paths, and Data Structures
Stanford University via Coursera
Overview
Class Central Tips
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.
-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.
Taught by
Tim Roughgarden
Tags
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