Divide and Conquer, Sorting and Searching, and Randomized Algorithms


Stanford School of Engineering



The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).

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


Tim Roughgarden, Professor of Computer Science

001 Open for Enrollment Online, Coursera

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Delivery Option:
Online Course $0.00



Coursera Course Certificate Available for a Fee

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