Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

SOE-YCS0011

Stanford School of Engineering


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Description

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.

Time Commitment

4 weeks of study, 4-8 hours/week

Instructor

Tim Roughgarden, Professor of Computer Science

001 Open for Enrollment Online, Coursera

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Delivery Option:
Online
Fees:
Online Course $0.00

Notes

 

 

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: