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Volver a Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Opiniones y comentarios de aprendices correspondientes a Divide and Conquer, Sorting and Searching, and Randomized Algorithms por parte de Universidad de Stanford

5,014 calificaciones

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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)....

Principales reseñas


13 de sep. de 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.


26 de may. de 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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851 - 875 de 954 revisiones para Divide and Conquer, Sorting and Searching, and Randomized Algorithms

por Saumya S

2 de abr. de 2020

Teaching is absolutely perfect. (A grade). But the content in this sub-division of the specialization is very much theoretical.

por Soroush B

19 de feb. de 2020

Course content is satisfyingly rigorous. However, the lack of community support and interaction heavily affects the experience.

por Mohammed S M A

17 de sep. de 2018

Very nice course, but some parts are not clear because the instructor talks really fast and goes over some parts very quickly.

por Edson A S

9 de may. de 2020

Great course.

Tim Roughgarden is an incredible teacher.

You'll learn more using Tim's books on the subject, by the way.

por Taylor N

12 de jul. de 2018

Good explanations, but more theoretical and math-intensive than practical. Not the best way to prepare for interviews.

por Aldo C

14 de ene. de 2021

Excelente curso, lo deje un tiempo porque no me podía hacer el ejercicio 3 de programación pero fue por no leer bien.

por Sidhartha S S

12 de abr. de 2022

Focuces in indepth mathimatical insight and analysis of algorithms.

Doesn't depend on a single programming language

por Ojas

28 de mar. de 2020

One of the best courses without a doubt!. Although some topics course require more deep / comprehensive discussion

por Yooya

5 de sep. de 2019

The pace was kind of fast for learners with little base, better to have more reading to facilitate understanding.

por Laxmidhar P

1 de jul. de 2018

This Course was awesome and it can prove benefit to all the students for designing efficient and fast algorithms.

por Piotr L

14 de feb. de 2018

Slightly outdated in terms of slides full of handwriting, but knowledge is laid out perfectly fine. Thanks Tim!

por Золотов Д С

24 de jul. de 2020

The handwritten text was a bit of difficult to read. The rest of the course is just exactly what is needed.

por Pasha B

18 de ene. de 2018

Would be great to have more verbose assignments check results. But still awesome experience and challenge

por Youjia W

15 de abr. de 2022

Very helpful course! If the number of programming exercises can be increased, then it would be perfect!

por Rakibullah S

25 de may. de 2018

Good but some videos on how the algorithms work and the proofs could have been much easier and clearer

por Haoran Z

2 de jun. de 2017

Great algorithm course, definitely helps people who find reading an algorithm book too boring to read.

por tanish s

17 de abr. de 2020

accent is difficult to understand for indian students. course is very helpful to grab deep knowledge.

por Tung B D

22 de dic. de 2021

Interesting course, especially with the analysis part. Programming assignment however is a bit easy.

por Heather F

11 de sep. de 2020

Great course. It would be nice if there was more detailed feedback on the assignments and quizes.

por Reza M

3 de abr. de 2022

This course is useful for my thinking and designing fast algorithms for my programming skills.

por S A

22 de dic. de 2017

Please do not teach graphs before teaching data structures it becomes very tough for students.

por Sahil A

8 de dic. de 2021

Amazing course live deep knowledge about divide conquer algorithms like merge and Quick sort

por Irene J

11 de abr. de 2020

It is a little bit hard for people who only have Python background, but still pretty good.


28 de jun. de 2019

The talking speed of instructor is too fast. Is there a way to slow down via the control?

por Andres M H C

9 de ene. de 2021

Very nice course. The professor speak really fast but the subtitles are really helpful