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Divide and Conquer, Sorting and Searching, and Randomized Algorithms(으)로 돌아가기

스탠퍼드 대학교의 Divide and Conquer, Sorting and Searching, and Randomized Algorithms 학습자 리뷰 및 피드백

4.8
별점
4,057개의 평가
752개의 리뷰

강좌 소개

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)....

최상위 리뷰

KS

Sep 14, 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.

CV

Jun 11, 2017

A really exciting and challenging course. Loved the way the instructor explained everything with so much detail and precision. Definitely looking forward to the next course in the specialization.

필터링 기준:

Divide and Conquer, Sorting and Searching, and Randomized Algorithms의 734개 리뷰 중 251~275

교육 기관: 毛毛

Apr 12, 2019

A well-organized course with clear statement on how algorithms work. Brilliant and helpful course!

교육 기관: Sumukh P O

Jun 30, 2020

it was an amazing journey though short. it was worth each minute that you invested in this course

교육 기관: Haixu L

Apr 12, 2020

Great class, learned a lot.

On the other hand, I feel a formal reading material will help as well.

교육 기관: ahmed m g

May 26, 2019

I feel like I have a deep understanding of algorithms already just by the end of the second week.

교육 기관: JackYanghc

Oct 12, 2018

it ‘s a challenge course ,but give me a useful theory to learn other divide and conquer algorithm

교육 기관: Minyue D

May 14, 2017

Really love this course! Although the quiz might be a little hard but they are definitely doable!

교육 기관: Chenglei S

Aug 26, 2017

Very clear explanation. Contents covered are helpful for understanding time complexity analysis.

교육 기관: Wenlei Y

Jun 16, 2020

Great course! You will learn to think algorithmically as well as practice programming skills!

교육 기관: Luv S

Sep 14, 2017

Amazing course! Really hard, but it was worth seeing all that mental effort come to fruition.

교육 기관: Xiaoxuan

Jul 25, 2017

Great class! Very clear mathematical explanations and challenging (but rewarding) assignments

교육 기관: Manoj B

Jun 12, 2017

Great course for revision of the concepts! Great lecturer and the quiz questions are superb!

교육 기관: Farruh H

Apr 11, 2018

It was very nice experience I have taken from this course. It improved my algorithms skills

교육 기관: Yixian H

Mar 11, 2018

Though final coding assignment has a little difficult, it's a definitely fantastic course!

교육 기관: Zhu L

Oct 19, 2019

This specialization really put an emphasis on algorithm analysis, I like and respect that.

교육 기관: Qinghua Z

Sep 01, 2017

Great Course. Now I get some idea of the spirit of Algorithms, that is "Can we do better?"

교육 기관: Yanan L

Apr 03, 2018

Very good course on analysis of algorithms. The design side can be a little weak though.

교육 기관: Nathan H

Jan 17, 2018

Challenging and insightful. Provides a great understanding of the math behind the code.

교육 기관: Onkar N M

Dec 09, 2017

Great course for Algorithms - Fast and instant delivery of concepts, really liked it ...

교육 기관: Vrushank A P

Mar 02, 2020

That was amazing experience, I recommend this course for every one excepting beginners.

교육 기관: shardul k

Jan 25, 2020

Great course helps you to understand a lot of concepts and specially the math behind it

교육 기관: Yunfan Z

Jul 22, 2020

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

교육 기관: Jon S

Dec 05, 2018

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

교육 기관: Junzhou J

Jan 17, 2017

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

교육 기관: Sai R

Nov 19, 2016

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

교육 기관: ZUWEI L

Apr 28, 2019

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