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).
Graph Search, Shortest Paths, and Data Structures
Graph Search, Shortest Paths, and Data Structures
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
Sponsored by Coursera Learning Team
89,734 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(1,984 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
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Assessments
9 assignments
Taught in English
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This course is part of the Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Breadth-first and depth-first search; computing strong components; applications.
What's included
9 videos4 readings2 assignments
Dijkstra's shortest-path algorithm.
What's included
4 videos2 readings2 assignments
Heaps; balanced binary search trees.
What's included
9 videos1 reading2 assignments
Hashing; bloom filters.
What's included
9 videos3 readings3 assignments
Instructor
Instructor ratings
4.8 (129 ratings)Offered by
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4.8
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5
Reviewed on Jun 9, 2021
Thanks a lot to Prof Roughgarden for great lectures, to course mentors and fellow students for fruitful discussions. It was a hard, but insanely informative course.
JE
5
Reviewed on Dec 28, 2019
I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.
AA
5
Reviewed on Apr 9, 2020
The best algorithms course available. More on the theoretical side which in my opinion is more important, if theory is understood, implementation becomes second nature.
Recommended if you're interested in Computer Science
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