Chevron Left
Retour à Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Avis et commentaires pour d'étudiants pour Divide and Conquer, Sorting and Searching, and Randomized Algorithms par Université de Stanford

4.8
étoiles
4,465 évaluations
866 avis

À propos du cours

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)....

Meilleurs avis

KS
13 sept. 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.

DT
26 mai 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

Filtrer par :

826 - 847 sur 847 Avis pour Divide and Conquer, Sorting and Searching, and Randomized Algorithms

par 伊洛

23 déc. 2017

I do believe that feedbacks are very important during the learning section. Without feedbacks I would not understand whether I am doing ok or not. The Quiz and Homework would not handout the answer key and explanation after I have done. How am I suppose to be successful with the class if I don't understand which part I should strengthen.

par Sheng B

28 janv. 2019

This is a good course. I recommend everyone to take it. There are many details useful for you to learn. But it is not friendly. The words the professor used are not easy to follow for a non-native English, the way the exercises are designed is not reasonable. It could have been better.

par Mike L

9 mai 2017

The professor is very good. However, pictures and graphics mean a thousand words. These lectures rely too much on words. It makes it how to visualize the concepts. Hope to see more pictures. Animation will be the best.

par Mohammadmahdi H

17 déc. 2020

The bad handwriting of the instructor is not a trivial issue as he pretends. He also talks very fast that makes it hard for people whose native language is not English to follow.

par Joern K

9 août 2018

Seems a bit dated, videos are reused from older courses and sometimes don't fit well together anymore. Content is great and lots of fun to work through.

par Daniel Y

7 nov. 2020

This course requires mathematical backgrounds. The professor talks super fast and sometimes he makes you asleep..

par Hardik A

22 déc. 2018

Great course theory wise, but the programming problem is unrelated and gives too little practice

par David A

19 oct. 2020

Audio out of sync, sometimes material climbs in difficulty without the climb in explanation imo.

par Neelesh K

25 avr. 2020

The explanation could be better. The hand writing must be improved.

par Kamil K

5 oct. 2017

Not practical enough, too academical approach for me.

par safa k

17 déc. 2020

I wish the lecture videos were shorter and clearer

par Wai C C

22 août 2020

Too few examples but too many verbal explanations.

par Yash R

23 avr. 2020

The course goes too fast and it skips the basics.

par Nishtha

20 juin 2020

i want to unenroll in this course. how to do so

par Mubin A

2 mars 2020

concepts explanation need to improve

par XiangRui L

21 déc. 2020

The visualization was limited.

par Gangadharan V

4 juin 2017

Good course

par Ian P

27 juin 2018

He's a personable instructor, but I think there are too few examples, the course is too devoid of interesting history, and the language and assignments can be unnecessarily obtuse. I'll happily work through a challenging course, but it feels like a waste of time if most of your effort is spent translating.

par Ahmad K

20 déc. 2017

The content is good and the instructor is good. On the other hand the fact that you cannot submit assignments or problem sets without purchasing the course is quite annoying. On all other courses which I have done without purchasing, you were able to do the full course which includes the problem sets etc.

par Amir A

15 juin 2020

it can be better if the professor tried to learn more algorithm instead of focus deeply on them

par Zengjia Y

2 nov. 2019

Too theoretical, a bit too far apart from industry.

par Shivam P

13 août 2020

Only for geniuses