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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

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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)....

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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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301 - 325 de 959 revisiones para Divide and Conquer, Sorting and Searching, and Randomized Algorithms

por TianJie S

12 de may. de 2019

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

por Michal F

13 de ago. de 2018

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

por Aditya R

13 de nov. de 2022

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

por Jayesh B

10 de may. de 2022

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

por Arju A

30 de may. de 2020

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

por Raghuram B

6 de ago. de 2019

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

por Liu X

2 de mar. de 2018

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

por Rihards J

19 de dic. de 2020

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

por Daniel R

16 de ago. de 2019

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

por Pritam B

13 de oct. de 2017

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

por Janis S

25 de sep. de 2020

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

por Aakash K

6 de ago. de 2020

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

por Alan R M

8 de jun. de 2018

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

por Raghusrinivasan J

17 de feb. de 2021

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

por Garret N

14 de oct. de 2020

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

por Garrett M

10 de may. de 2018

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

por Balaji R

22 de mar. de 2020

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

por Alberto C

10 de dic. de 2017

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

por Shinjan T

11 de sep. de 2019

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

por Shawn W M

29 de abr. de 2019

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

por placido d b

26 de feb. de 2022

Great, this course is not simply a course on how algorithms are made but the essence of each one is explained.

por L H

17 de feb. de 2021

Fascinating course! This may be an unpopular opinion, but I loved the mathematical analysis of the algorithms.

por Keerthana S

22 de jun. de 2018

The material is explained really well and the programming assignments are challenging but ultimately solvable.

por Влад А

12 de oct. de 2021

Универской математики хватает для понимания (Матанализ незамысловатый + теорвер базовый). Мне понравился курс

por Jorge B

14 de oct. de 2017

Excellent, great explanations and good pace. Exercises quite challenging for a newbie but you'll learn a ton.