Graph Search, Shortest Paths, and Data Structures
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).
Who Should Enroll
Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year.
Time to Complete
4 weeks of study, 4-8 hours/week
Tim Roughgarden, Professor of Computer Science
Coursera Course Certificate Available for a Fee
You can earn a Course Certificate for this Coursera Course. A Course Certificate is proof that you completed and passed the course.
In order to get a Course Certificate, you must: