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
Access provided by SVEC + MBU
93,666 already enrolled
Gain insight into a topic and learn the fundamentals.
2,000 reviews
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
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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Showing 3 of 2000
HC
Reviewed on Nov 11, 2017
Focused on principles and motivations behind algorithms. You might forget an algorithm you learned, but you will definitely be able to come up with one quickly after this course.
MB
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.
JE
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.
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