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Back to Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Learner Reviews & Feedback for Divide and Conquer, Sorting and Searching, and Randomized Algorithms by Stanford University

4.8
stars
4,574 ratings
889 reviews

About the Course

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)....

Top reviews

KS
Sep 13, 2018

Well researched. Topics covered well, with walkthrough for exam.le cases for each new introduced algorithm. Great experience, learned a lot of important algorithms and algorithmic thinking practices.

DT
May 26, 2020

Thank you for teaching me this course. I learned a lot of new things, including Divide-and-Conquer, MergeSort, QuickSort, and Randomization Algorithms, along with proof for their asymptotic runtime

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801 - 825 of 870 Reviews for Divide and Conquer, Sorting and Searching, and Randomized Algorithms

By Nikhil S

Dec 21, 2019

In the very end, it was fun coding the min-cut algorithm and overall I enjoyed this

By Tianyi Z

Jul 16, 2018

Quicksort could be better. The comparison counting is not a good assignment I feel.

By Lucas P

Jan 1, 2019

The classes are very good but I hope they can improve the programming assignments.

By Osmar P

Feb 10, 2021

Extreme well-structured course, but it's really hard to understand the whiteboard

By Dieter V

Nov 16, 2020

Very well explained. Good selection of programming assignments and problem sets.

By Sukhesh B

Nov 14, 2016

Great course to improve your skills on Algorithms, Space and Time complexities

By Sriram R

Nov 13, 2016

Needs hands-on experience with high-school probability to help crack the exams

By Aman S

Apr 3, 2020

The instructor wasn't very good at teaching, but the course is designed well.

By Ashish U

Jul 25, 2019

really helpful course on building concepts on data structures and algorithms

By Aditya K

Jun 29, 2018

Tough one, but if you take time to understand ... it is deep and fun as well

By Yusuf K

Jan 20, 2018

Excellent set of tutorials. Good questions that require critical thinking.

By Keith M

Nov 17, 2020

Good course but make sure your up to speed on probability theory first.

By adham E

Jun 3, 2020

I thin it can be more easier as its first course in the specialization

By Dharmesh

Apr 7, 2020

Very good, Assignment and Quiz. It's help me lot of to clear Concept.

By Fatoumata F

Apr 23, 2018

I loved the problem set 1!

Thanks for the book recommendations also

By Hassan N

Mar 1, 2017

Great course but audio and video are terribly out of sync.

By Giorgi G

Nov 13, 2018

Retake videos, because it's hard to watching handwriting.

By sherif s

Nov 15, 2019

over all is good

the proofs parts are too much by the way

By Vishnu

Dec 31, 2019

Sometimes it became complicated but it was really good

By Yang W

May 10, 2018

very conceptual, not very friendly to the beginner.

By Utsav S

Jun 4, 2020

excellent ,what i most need was asymptotic analysis

By Anish K

Aug 30, 2017

Very fun, interactive and downright helpful course.

By Yasir M

Jun 9, 2020

Should be more precise in code. It's too vague

By Dragonphy W

Oct 13, 2018

It's good enough but lack of thorough analysis

By Yash K

May 14, 2017

Requires a bit of Math background for proofs!