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).
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Compétences que vous acquerrez
- 5 stars86,17 %
- 4 stars11,52 %
- 3 stars1,72 %
- 2 stars0,20 %
- 1 star0,36 %
Meilleurs avis pour GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES
assignments didn't seem as interesting or complex as class 1, besides week 1 of class 2. Lecture material was high quality however, and the advanced optional material is appreciated
It was an awesome experience to learn from such a teacher. Now I have a much clear view of the graph algorithms. I have enjoyed this course. Thanks to Stanford for offering this course.
Good course, but instructor does start to move fast and a few walk-throughs in certain spots would be beneficial . However the lack of it makes you do your own research, which is also beneficial.
Awesome course! Professor Roughgarden is fantastic. The material was appropriately challenging. Perfect amount of rigor. Only one minor squabble: the hash problem set is terribly misleading.
À propos du Spécialisation Algorithmes
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