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
88,423 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(1,978 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 (128 ratings)Offered by
Recommended if you're interested in Algorithms
Stanford University
Stanford University
Stanford University
Stanford University
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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