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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
4,483 ratings
868 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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351 - 375 of 850 Reviews for Divide and Conquer, Sorting and Searching, and Randomized Algorithms

By Armando J B F

Oct 19, 2018

Excellent, in-depth course. The use of randomness was indeed 'illuminating'.

By Jiaxiao W

Mar 2, 2019

very clear and organized course. I learned a lot from it. Thank you so much

By Haochuan W

Jan 23, 2019

Best online course I've taken. You can possibly cross out the "online" too.

By Stjepan H

Apr 22, 2021

One of the best courses I attended. It is difficult, but totally worth it!

By Jiangbo W

Sep 30, 2019

Appropriate amount of content, but a little hard. After all it's Stanford!

By UDAYA B C

Aug 16, 2019

Best professor, these concepts helped me a lot in competitive programming.

By Aakash S

Apr 14, 2018

Concepts are very well explained and the quality of quizzes are top-notch.

By Dima T

Mar 13, 2017

I like this course a lot. Going to learn everything in the specialization.

By Mohammad N

Nov 20, 2016

This is a great course for who doesn't have a computer science background!

By BRUCE

Apr 23, 2018

Finished part I, keep going! This is one of the best courses in Coursera.

By 李培春

Mar 5, 2017

老师讲课的方式挺独特的(与中国的课堂相比),不过很容易接受。有些视频是没有中文字幕的,在没有字幕的情况下,有点跟不上老师的语速。讲得很清晰,很喜欢

By Gaurav C

Oct 12, 2019

That's the best you can get from any professors out there, with quality.

By Николай

Jul 13, 2019

Very good course. Very hard, very interesting and very useful. Thank you

By Gaurav J B

Feb 6, 2018

This is really helpful and worth course for deep learning of Algorithms.

By Dang N

Jun 6, 2017

Wonderful course! I enjoy mathematical analysis for algorithm very much.

By Saurabh V

May 18, 2020

It takes me too much time to understand but it is simply a nice course.

By PLN R

Jun 15, 2018

Amazing course! Best for getting a good mathematical grip of the topic!

By RAJU A

May 6, 2020

Really good. Need prior experience to understand this course for sure

By Chi M

Jul 11, 2018

The lectures gave me very good direction to study algorithms. Thanks!

By Rohit C

Aug 3, 2017

I never expected algorithms can be taught in such an interesting way.

By Ed M

Nov 13, 2020

The Algorithms Illuminated series is very helpful for these courses.

By Tayfun E

Mar 9, 2020

Very hard and difficult course. I am trying to do it with my best...

By Muhammed C B

Mar 27, 2019

It was a perfect course and it was very helpful to learn algorithms.

By Asela I

Jul 22, 2018

Gave great confident about using algorithms and to reason about them

By Bhaskar V

Sep 11, 2017

Great refresher and good starting point for Algorithm Specialization