Chevron Left
Вернуться к Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Отзывы учащихся о курсе Divide and Conquer, Sorting and Searching, and Randomized Algorithms от партнера Стэнфордский университет

Оценки: 4,471
Рецензии: 867

О курсе

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)....

Лучшие рецензии

13 сент. 2018 г.

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.

26 мая 2020 г.

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

Фильтр по:

301–325 из 847 отзывов о курсе Divide and Conquer, Sorting and Searching, and Randomized Algorithms

автор: Haixu L

11 апр. 2020 г.

Great class, learned a lot.

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

автор: ahmed m g

26 мая 2019 г.

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

автор: JackYanghc

11 окт. 2018 г.

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

автор: Minyue D

14 мая 2017 г.

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

автор: Andrea

27 янв. 2021 г.

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

автор: Armin F

6 сент. 2020 г.

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

автор: Chenglei S

26 авг. 2017 г.

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

автор: Wenlei Y

16 июня 2020 г.

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

автор: Luv S

14 сент. 2017 г.

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

автор: Xiaoxuan

24 июля 2017 г.

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

автор: Manoj B

11 июня 2017 г.

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

автор: Farruh H

11 апр. 2018 г.

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

автор: Yixian H

11 мар. 2018 г.

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

автор: Zhu L

19 окт. 2019 г.

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

автор: Qinghua Z

1 сент. 2017 г.

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

автор: 晓-

7 сент. 2020 г.


автор: Brian C

12 окт. 2020 г.

10/10 course,

Content, explanation , it's great.

Not even gonna mention professors voice.

автор: Yanan L

3 апр. 2018 г.

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

автор: Nathan H

16 янв. 2018 г.

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

автор: Onkar M

9 дек. 2017 г.

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

автор: Vrushank p

2 мар. 2020 г.

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

автор: shardul k

24 янв. 2020 г.

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

автор: Yunfan Z

22 июля 2020 г.

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

автор: Jon S

5 дек. 2018 г.

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

автор: Shalini M

10 сент. 2020 г.

Great course and instructor! the course helps you gain intuition behind algorithms.