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
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Graph Search, Shortest Paths, and Data Structures
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
92,869 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(1,995 reviews)
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
93%
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Skills you'll gain
Details to know
Shareable certificate
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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
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Instructor
Instructor ratings
4.8 (131 ratings)Offered by
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Status: PreviewBirla Institute of Technology & Science, Pilani
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4.8
1,995 reviews
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Showing 3 of 1995
JE
5
Reviewed on Dec 27, 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.
MB
5
Reviewed on Jun 8, 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.
TG
5
Reviewed on Nov 30, 2019
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.
Frequently asked questions
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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