Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
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.
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:
This course may not currently be available to learners in some states and territories.