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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
5,187 ratings

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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301 - 325 of 988 Reviews for Divide and Conquer, Sorting and Searching, and Randomized Algorithms

By PATEL J Y

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Mar 19, 2020

Very Nice course for a newbie like me to mastering algorithms. I want to thank you institute for making this course for us.

By Aishwarya R

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Jun 20, 2019

Learnt about Merge Sort, Quick Sort, Randomization Algorithms, Selection, Graphs, Min-cut. Thank you Prof. Roughgarden :)

By Rahul K

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Feb 7, 2020

This course really give the idea how to approach the problem and analyse it and find the most efficient way to solve it.

By Aksheshkumar S

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May 26, 2020

really an amazing course and have covered the content very nicely and the programming assignments are also very helpful

By Gaurav R

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Nov 13, 2019

The course is not an easy one but if done earnestly will help the learner a lot in developing a mindset for algorithms.

By TianJie S

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May 12, 2019

very tough and challenging course. The professor explains very detailed mathematics analysis underlying each algorithm

By Michal F

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Aug 13, 2018

Well-balanced course in terms of difficulty, theory level and practicality. Final exam could have been more difficult.

By ADITYA R

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Nov 13, 2022

Great course for algorithm, specially the number of questions covered throughout the course in every topic is amazing

By Jayesh B

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May 10, 2022

It was a good one and helped me in understanding the concept easily. Thank you Coursera for the valuable information.

By Arju A

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May 30, 2020

English got a bit tough for non-native speaker sometimes, but it required brainstorming and that's why a good course.

By Raghuram B

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Aug 6, 2019

Best Course for Programmers. But this course needs some programming prerequisites to understand the concepts clearly.

By Liu X

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Mar 2, 2018

Good course to get started with algorithms. I am already a programer, and still learn a lot from this course. Thanks!

By Rihards J

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Dec 19, 2020

Great course for those who would like to become better developers and learn basics of data structures and algorithms

By Daniel R

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Aug 16, 2019

Although some concepts were a bit too hard to chew, this is a great start for someone who's new to computer science.

By Pritam B

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Oct 13, 2017

The course is really good. Helping me to grasp the basic concepts of algorithm and to refresh the algorithms skills.

By Janis S

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Sep 25, 2020

excellent content. Learned a lot! Proofs can be a bit dull at times. But that probably simply lies in their nature.

By Aakash K (

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Aug 6, 2020

This was an amazing course and it allowed me to learn complex algorithms and introduced me to algorithmic thinking

By Alan R M

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Jun 8, 2018

It really helped me understand the concept of algorithms. I confess that I have a new perspective of an algorithm.

By Raghusrinivasan J

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Feb 17, 2021

Great course to learn about different algorithm design paradigms and dig into the world of randomized algorithms.

By Garret N

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Oct 14, 2020

Very intellectually stimulating. The problems were thought-provoking and assessed understanding very effectively.

By Garrett M

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May 10, 2018

Great teacher. Coming from a science background myself, I like that the math is not watered down in the analysis.

By Balaji R

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Mar 22, 2020

What an amazing and insightful course. the min algorithm totally blew my mind randomized algo are simply elegant

By Alberto C

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Dec 10, 2017

Wonderful explanations. The companion book helps a lot to review material and have it always fresh in your mind.

By Shinjan T

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Sep 11, 2019

Awesome course. Learnt a lot about the theory behind a randomized algorithm. Karger's min cut was a revelation.

By Shawn M

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Apr 29, 2019

He can tend to go off topic and waste time in an effort to be exactly exact, but other than that, great course.