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
4,726개의 평가
915개의 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
2018년 9월 13일

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
2020년 5월 26일

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

필터링 기준:

## Divide and Conquer, Sorting and Searching, and Randomized Algorithms의 899개 리뷰 중 326~350

교육 기관: Deleted A

2017년 12월 29일

Excellent but make sure to brush up your math logic and probability skills before taking this course!

교육 기관: William W

2022년 1월 1일

Each lecture is full of theoretical details and humour! The exams and quizes are challenging enough.

교육 기관: Pavel G

2020년 12월 17일

Great intro into the design and analysis of algorithms, made in the approachable and engaging style.

교육 기관: Красовский И В

2020년 8월 25일

It was much more exciting at my 26 to complete the course than doing it back in my uni-days. Thanks!

2020년 6월 17일

Amazing course for understanding algorithms in depth and it has a low barrier to entry. Well taught!

교육 기관: 毛毛

2019년 4월 12일

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

교육 기관: Sumukh P O

2020년 6월 30일

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

교육 기관: Haixu L

2020년 4월 11일

Great class, learned a lot.

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

교육 기관: ahmed m g

2019년 5월 26일

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

교육 기관: JackYanghc

2018년 10월 11일

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

교육 기관: Minyue D

2017년 5월 14일

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

교육 기관: Andrea

2021년 1월 27일

Fun Class! Loved it! I learned a lot and will move on to the next course in this specialization.

교육 기관: Armin F

2020년 9월 6일

Great Algorithm class, stays at high level and coding assignment reinforce practicing main idea.

교육 기관: Chenglei S

2017년 8월 26일

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

교육 기관: Hari K

2021년 6월 2일

E​xcellent course for people who already have had a basic course in algorithms/data structures.

교육 기관: Prince C S

2021년 9월 9일

Great Pace - good examples - always going to the point - clear and providing good information.

교육 기관: Wenlei Y

2020년 6월 16일

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

교육 기관: Luv S

2017년 9월 14일

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

교육 기관: Xiaoxuan

2017년 7월 24일

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

교육 기관: Manoj B

2017년 6월 11일

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

교육 기관: Farruh H

2018년 4월 11일

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

교육 기관: Yixian H

2018년 3월 11일

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

교육 기관: Zhu L

2019년 10월 19일

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

교육 기관: Qinghua Z

2017년 9월 1일

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

교육 기관: 孙晓

2020년 9월 7일