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

4.8
stars
5,224 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

SK

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I would rate it very high because of the kind of assignments given and kind of questions asked is very very good. I would refer my friends for this kind of professional things.

CN

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Since I am relatively new to computer science, this course is a little bit hard.

But, overall it's ok and the course also mentioned the similar material is taken by sophomores, juniors and seniors.

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126 - 150 of 997 Reviews for Divide and Conquer, Sorting and Searching, and Randomized Algorithms

By Md. F K

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Sep 27, 2019

At first, the course may look too fast-paced, but after one or two videos, ample explanations would disabuse oneself of that idea. Highly resourceful lectures, challenging quizzes, and optional problems make this course quite an elegant one. One of my favorite courses. Looking forward to completing the specialization.

By Zhao J

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Dec 28, 2017

It's just great! The professor is humorous and fantastic! I really love this course, and it had helped me get started in algorithms and data structures. After finishing this course, I have read some part (part I to part IV) of the CLRS book and learned even more! Believe me, this is a good course and worth your time.

By Limber

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Oct 31, 2017

A really helpful course that help me to dive deep into the algorithms world. The prof is really nice. I thought the book he has wrote is really benefit for my study. I have over 5 years coding experience but it is still hard for me to get that. Some algorithms assignments are really interesting. It's time worthy.

By Masashi M

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Nov 14, 2016

I was very amazed with his really good lectures. Especially proving each algorithm's correctness and performance was very interesting and stimulated my curiosity. I also need to note that optional videos for probability helped me a lot to understand this course. I would like to recommend my friends definitely.

By Damian C

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Feb 2, 2018

Amazing course, just loved it. First there's the ingenuity of the topics covered. Second, Tim makes an awesome job in delivering those lectures. Very clear, and straight to the point. Aside from learning, I enjoyed this a lot. Many thanks to Coursera and its team for making this available, keep the good work :)!

By Li-Pu C

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Mar 23, 2020

the professor talks about the algorithm of the introduction to the algorithm and overall it is very good because it is very uncommon that people can deliver hard knowledge in a easy way. I would recommend all the foreigners to take this course as their first course on Coursera if you're new to computer science.

By Kaan A

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Sep 7, 2019

It was great course from Tim Roughgarden. I like his style and explanations. I enjoyed while doing programming assignments and quizzes and final exams. They were designed well. Difficulty is just right for an online course I guess, not more than courses in universities but more than most of the online courses.

By Paras J

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Apr 4, 2020

The best content and teaching methodology one can find for algorithms. Even the topics that are considered tough were explained in a very smooth and succinct manner. I loved the optional reading material and assignments! Some of the problems were really challenging and fun to solve. Highly recommended!

By Edgar R H P

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Nov 26, 2018

El curso es realmente agradable y permite obtener conocimientos para la optimización de algoritmos, altamente recomendado para aquellos que ya tienen una base ya formada. Parecería apropiado adaptar un curso similar para profesionales capacitados en otras carreras pero con interés en los algoritmos.

By Ali Ä° E

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Jan 27, 2022

I strongly recommend this course. You can learn a lot from this course. Here are some tips to get the most out of it:

1) Implement each algorithm, that professor talks about, using your favorite programming language.

2) Study each topic using the suggested book (i.e. Algorithms Illuminated (Part 1)).

By Sonali P

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Aug 10, 2018

An awesome course for learning algorithms in Divide and Conquer Strategy. The lecturer's teaching and lecture content both are world class. The assignments too were worth challenging and confidence boasting. Nice one in case someone needs to grasp at deeper level, the algorithm design and analysis.

By Anton K

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Feb 10, 2018

This is by far the best course I've ever seen on coursera. I actually had a major in discrete mathematics and algorithms at college, so I had though I only needed to refresh. But I was actually able to learn quite a lot new things and realized that some of the concepts I've had wrong all this time!

By Anna S

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May 24, 2023

The course is well-built and very interesting but is quite demanding. It includes theory and mathematics behind algorithms, which is quite elegant. Practical exercises take some time, but once you get them - it is very rewarding and gives you an excellent understanding of these algorithms.

By Neelabh S

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Apr 1, 2020

Great course! Programming assignments are designed very well. Evaluative components properly judge the learning outcome of the course.

As far as the course is concerned, the explanation of concepts is great. Every topic starts from fundamentals which makes it easy to connect and understand.

By Don S

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Dec 3, 2020

A very interesting and abstract approach to teaching algorithms. Given the course is language agnostic, I chose C# as my language for doing the programming assignments in order to upskill in C# for my new job. This course has also helped me enhance my understanding of key algorithms.

By An N

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Feb 26, 2018

It can be difficult for beginners. But you definitely learn alot after if you can make it through the end. There are typed pdf lectures included, but recommend to take notes and have the pdf up when watching the lectures because the instructor's handwriting is not very easy to read.

By Seanita T

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Sep 16, 2019

The ML class was a great prep for this one. I like that this class is taught in Python vs Matlab/Octave. Prof. Ng is excellent as always. Each course solidifies my understanding while also reminding me there is much still to learn. It's challenging but I am thoroughly enjoying it.

By Ke " L

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Jun 9, 2019

I have learned a lot about important concepts about algorithms through this course, to name a few, divide and conquer (recursion), randomized algorithms, and introduction to graph. It took me about 15-20 hours a week to learn the knowledge thoroughly and converted them into codes.

By Libor S

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Apr 23, 2017

Course is brilliant, but at least for me the completion took in average 3 times more effort than expected by authors (4-8 hrs/week). Of course this is mostly due to my low experience with programming, but still, might be relevant for other learners, who don!t have much experience.

By Andy

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Jul 23, 2017

An excellent course for beginners looking to grasp fundamental concepts of algorithms!! Professor Roughgarden was brilliantly lucid in his explanations and the assignments and evaluations were helpful in assimilating the concepts covered. It was pleasure to take this course.

By Luke K

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Dec 26, 2020

This course will give you a very precise understanding of algorithms and their mathematical proofs. And it introduces some cool algorithms and covers them in detail mathematically, so it will be very enjoyable to learners too who already took an algorithm class before.

By R

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Apr 16, 2019

He is the perfect and awesome Guru, who understands how to connect the dots. I found the right place to understand this subject in the right direction and interpretation. It's truth unfolded. Thanks a lot Sir for mentoring and 'illuminating' students around the corner.

By Rajat G

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Jan 14, 2018

Amazing course!

The course content is very good. It covers several important algorithms related to Divide and Conquer approach. The teacher is very good and the assignments and quiz also challenges you and make sure that you have viewed the lectures thoroughly.

Thanks :)

By Qianli S

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May 31, 2017

The course material is very comprehensive. Both quiz components and programming components are not easy. The instructor, Prof Tim Roughgarden, has done a great job explaining the nuances in the course material. I may need to review the materials sometime down the road.

By Stephen D

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Aug 20, 2021

I loved how hands on the assignments are. It gives you the theory of what you need to know and implement, but tosses you into the deep end which forces you to know the algorithm on a very deep level. You work hard for it, but you end up learning a ton in the process!