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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
4,527개의 평가
880개의 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 860개 리뷰 중 751~775

교육 기관: Emin E

2018년 1월 27일

It would be great if lectures and slides would be with better design and to make and record new slides and lectures. Because these lectures seems too old. Everything else is great.

교육 기관: Pablo J

2019년 8월 28일

understand that this is intended to be cross code language information, but would also be nice to see examples of non-pseudo code and implemented into at least one language

교육 기관: Xiaoliu W

2020년 7월 12일

Nice material. Wish the instructor can go over some part of the material a little slower. Also it would be nice if the solution of the optional questions can be provided.

교육 기관: Ahmad B E

2017년 5월 9일

Great course for who is seeking to learn new algorithms and their analysis specially the randomized algorithm. but its videos are kind of long compered to other courses.

교육 기관: Ivan C

2019년 11월 13일

It would be good to have more simple examples, like how theoretical results can be applied, with exact numbers and not with abstract n, a, k, b, j after we prove them.

교육 기관: Madhumala J

2019년 3월 27일

Kindly make it more simpler by adding more practise problems so that solving problems become more easier during the test and thereby to gain more knowledge on the same

교육 기관: dmitriy m

2018년 4월 28일

It would be better to have more test cases linked to programming assengments. Hoppefully, there is a github branch with that already... but better to merge it to here

교육 기관: Justin S

2019년 1월 29일

High rank because the instructor really makes the material come alive. Not a 5-star since I wish there was more supporting materials to accompany the course. Thanks!

교육 기관: Mayank K

2020년 1월 16일

Good if you want to be a researcher or follow your career on algorithms but not so good if you want to learn using ds and algos fast to crack technical interviews.

교육 기관: Himanshu G

2017년 12월 30일

great course but it would be better if you ask students to submit their code and give limits and various test cases like an actual programming contest.

교육 기관: aditya s c

2019년 1월 25일

very good teaching of algorithms.however a little help for coding those would be appreciated.(in my case i am dealing with graphs for the first time).

교육 기관: wenqin s

2020년 5월 27일

Overall experience is well, the probability overview was fast, require deep understanding with probability and statistics in discrete model.

교육 기관: Sergei I

2019년 3월 24일

Content is great. But handwriting is hard to understand clearly for non-native english speakers. I expected good quality of presentations.

교육 기관: VIBIN V

2018년 7월 28일

excellent course

slightly fast paced and optional exercises are challenging . one should solve those as well to get in depth practice.

교육 기관: Saumya S

2020년 4월 2일

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

교육 기관: Soroush B

2020년 2월 19일

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

교육 기관: Mohammed S M A

2018년 9월 17일

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

교육 기관: Edson A S

2020년 5월 9일

Great course.

Tim Roughgarden is an incredible teacher.

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

교육 기관: Taylor N

2018년 7월 12일

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

교육 기관: Aldo C

2021년 1월 14일

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

교육 기관: Ojas

2020년 3월 28일

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

교육 기관: Youya W

2019년 9월 5일

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

교육 기관: Laxmidhar P

2018년 7월 1일

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

교육 기관: Piotr L

2018년 2월 14일

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

교육 기관: Золотов Д С

2020년 7월 24일

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