Chevron Left
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

4.8
estrellas
5,015 calificaciones

Acerca del Curso

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

KS

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.

DT

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

Filtrar por:

376 - 400 de 954 revisiones para Divide and Conquer, Sorting and Searching, and Randomized Algorithms

por Dylan L

31 de jul. de 2021

Clear explanation of each algorithm and well-organized homework really help me a lot !

por Yunfan Z

22 de jul. de 2020

Pretty good modules offered which have strengthed my fundamental skills in algorithms

por Jon S

5 de dic. de 2018

Great problems, level is perfect for formalizing Do-It-Yourself programming knowledge

por Shalini M

10 de sep. de 2020

Great course and instructor! the course helps you gain intuition behind algorithms.

por Junzhou J

17 de ene. de 2017

The course was quite useful and enlightening!I was a good start to learn algorithms!

por Sai R

19 de nov. de 2016

This course has some great quiz questions. I'd recommend it to people just for them.

por AKSHAT M

9 de mar. de 2021

Best algorithms course ! Totally loved it. Tons of respect for Tim Roughgarden sir.

por ZUWEI L

28 de abr. de 2019

Very interesting course. It also gives me a chance to improve my computer language.

por Difu W

12 de abr. de 2018

If the words on the screen were typed, the learning experience will be much better!

por munish a

13 de may. de 2021

The only thing that can be improved is the lag between the presentation and audio.

por Tanay D

22 de sep. de 2020

Really good course , people with basic programming knowledge will love this course

por Pavel

24 de may. de 2020

Great course! Very good and clear explanations, really good math. I will continue.

por Alexandr K

7 de abr. de 2019

Great in-depth explanation of algorithm analysis, good examples of learned topics!

por charles

23 de nov. de 2016

Very good course on algorithms, a lot of terms explained in details with exercises

por Guillaume D

7 de dic. de 2020

Really interesting, well explained and challenging, can't wait to see what's next

por Anil K M

19 de nov. de 2017

One of the best courses on Divide & Conquer and Randomized Algorithms on the web.

por Daniel H

22 de dic. de 2016

Excellent course! I would recommend it to everyone who wants to learn algorithms.

por Adeesh A

1 de abr. de 2020

Great explanation . All the algorithms are thought with proof of time complexity

por Aditya K J

30 de mar. de 2018

A comprehensive courses with details on correctness,implementation and analysis.

por Udhayakumar S

31 de may. de 2017

Understood very much about random algorithms. Appreciate the rigour in analysis.

por Kevin H

29 de oct. de 2020

Great Course for really diving into data structures and algorithms. Thanks Tim!

por Eyes R

12 de may. de 2018

Outstanding introduction to algorithms with great practice problems and quizzes

por Yifan W

23 de oct. de 2016

It's an amazing courses aiming to high-level and fast-pace algorithmic thinker.

por Mafruha C

12 de nov. de 2017

This cource is a path of my passion to enjoy the intelligent thought and being

por Gaurav K

13 de dic. de 2016

Sir Tim Roughgarden teaches very straight forward and easy .I like the course.