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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
4,627개의 평가
901개의 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 883개 리뷰 중 751~775

교육 기관: Dolly Y

2017년 8월 28일

The discussion forum is basically dead.If you ask a question, you will probably get an answer in two months.The programming assignment is not as well-designed and challenging as the Rice and Princeton algorithm specialization. There is no autograder. You just need to enter the output of the programming assignment. Nevertheless, it takes a thorough and rigorous approach.

교육 기관: Wan H L

2017년 10월 1일

The instructor offers me a very clear explanation on different algorithm designs. The assignments are also thought-provoking and is able to stimulate your brain.

One thing for improvement is the sufficiency of algorithm exercise. It seems the algorithm exercise the course offers is not enough for those who would like to pursue higher challenge in algorithm puzzles.

교육 기관: Daniel Z

2019년 2월 18일

Good introductory course: allows to relatively quickly go through the topic without getting stuck in too much detail; hands on assignments are nice and useful. The slides I feel could be further improved to (i) aid rapid understanding, (ii) be more helpful in problem solving and (iii) have a few more maps back to the bigger picture.

교육 기관: Rishi B

2018년 6월 6일

This was a good course, but it is not for people who want to get work done using algorithms. It is pretty math heavy and requires ample amount of dedication and understanding. Some high standard videos like the ones on Graph Theory was not very well explained, I had to see some youtube videos to get a nice understanding about them.

교육 기관: Chris S

2018년 3월 7일

I thought the course was well instructed, Tim is a good professor and doesn't give up too many of the answers. I found the probability section needing more review as I didn't come into the course with a statistics background, and I felt that hurt my full comprehension of the material. Other than that, awesome course.

교육 기관: Weiming H

2018년 5월 23일

I really like this course and think that the course is very helpful for me as a non-cs major student to learn more about algorithms.

However, I found it hard to find answers to the quiz and the questions. I tried in the forum but in vain. Might be an improvement of the Coursera system and organization?

교육 기관: Aniruddha S

2020년 7월 6일

Excellent course for students to study why and how the popular algorithms work. The course was very much focused on the math behind the algorithms and I felt it could have been better if the course focussed more on real time applications using the algorithms and their implementations with pseudocode.

교육 기관: Sandesh K A

2018년 11월 16일

Perfect start for a NOOB, all algorithms are explained in a detailed way. Only draw back i felt which can be addressed in further version is to include few programmatic assignments, so that developers can relate how the algorithm is translated from mathematical equation to running code.

교육 기관: John Z

2017년 11월 13일

Sincerely speaking, the lecture is too coarse. It will be more help, if there are more details in lecture. But not only in videos. It is quite waste of time by watching videos one by one. However, by finish this course, I have regained basic algorithm knowledge learned in college.

교육 기관: Krish R

2018년 3월 23일

I took this course to understand more the approach of problem solving and less the mathematical analysis. To understand why the things the way they are , Its sufficient to understand conceptual analysis, rather than mathematical analysis , at least for me.

교육 기관: Kelvin

2017년 10월 28일

The course is awesome and explained in details of every topic. However, watching the videos alone is not enough and in my opinion, read the book that the course recommended or look on the internet for relevant reference to support your learning.

교육 기관: Eldiiar D

2020년 11월 16일

It would be great to see some implementation with some coding language, not only pseudocode. But overall, it is a great course, I have learned so much! and of course, I started to think differently (dividing every problem into subproblems)!

교육 기관: Sean S

2017년 7월 22일

A little too much math than what was anticipated, I would have preferred more of why did the CS choose a divide and conquer approach than proofs. The professor talks faster than I can take notes, it's great that we can stop and rewind.

교육 기관: Norman W

2018년 6월 24일

Yea i think it's good. However, some of the proofs didn't 100% make sense to me and I don't prefer sloppy proofs. I'd like more concrete walkthrough of the proofs. I know that's hard for course that has so much content packed into it.

교육 기관: Dinh C T

2021년 5월 22일

Mathematical analysis and induction to divide and conquer strategy of the professor are really attractive. Base of a programming language to implement and test the algorithm during the lecture reading is highly recommended.

교육 기관: Pranav K

2020년 4월 17일

It is the best course for the above algorithms that I have seen till date.The pace and problems are just perfect.It produces interest in us to learn more.Atlast the course is not that tough nor that easy it is just amazing.

교육 기관: Duy K N

2018년 8월 23일

The lecturer explains everything very clearly. All materials are interesting but the assignments are not well-prepared and quite little :( I don't think they can assess learner's understanding and knowledge well enough

교육 기관: Rishabh P

2020년 3월 31일

It is a great course, but the person needs to be determined to complete the course, and you will also have to refer to a lot of external materials... Tim tried to make the course as interesting as possible...

교육 기관: Ali I C

2020년 1월 4일

A bit too heavy on the probability and mathematical proof side, otherwise I learned a lot about divide and conquer algorithms and minimum cut as well as the Master Method for algorithm analysis.

교육 기관: Joe

2017년 4월 29일

As someone with only (UK) high school level maths I just about managed to follow this. I am still confused by logarithms. I guess I should go and read the maths for computer science resource.

교육 기관: Gonzalo G E

2018년 4월 8일

I would like a better balance workload from week to week. In my experience it increase every week, so last week I was in a rush, not even being able to go through the optional material.

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.