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

4.8
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Оценки: 4,629
Рецензии: 901

## 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

KS
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.

DT
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

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## 301–325 из 884 отзывов о курсе Divide and Conquer, Sorting and Searching, and Randomized Algorithms

автор: Andrey M

29 июня 2020 г.

Thank you Tom. This is a great course. I got a real vision of the algorithms and started to understand it.

автор: Joseph R

5 апр. 2018 г.

Can you do better in those technical interviews?

Yes! if you take this course.

автор: Jhan C

26 нояб. 2019 г.

Tim Roughgarden is an exceptional teacher. Didn't think I'd learn so much in such a short space of time!

автор: Abhilasha

4 июля 2017 г.

This Course is indeed a good source for thorough understanding of the basic concepts of the algorithms.

автор: Tushar

11 июня 2017 г.

Very nice and structured course , with an intention to imbibe the "thinkness" in students for algorithms

14 дек. 2020 г.

Material is great and well structured, assignments are challenging enough. Thanks a lot for the course!

автор: Rickard A

1 июня 2020 г.

Genuinely enjoyed this! Would be nice to have a review of data structures included as optional as well.

автор: Sanjaya P

19 июля 2018 г.

I like this course! Specially programming assignments were challenging. Enjoyed throughout the session.

автор: Dipen K

17 июня 2019 г.

Course was well planed. It would be more better if more graded programming assignments were included.

автор: 习炎喆

14 дек. 2018 г.

Really helpful as a start of algorithm learning. And it is good to require only one kind of language.

автор: Deleted A

29 дек. 2017 г.

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

автор: Pavel G

17 дек. 2020 г.

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

автор: Красовский И В

25 авг. 2020 г.

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

17 июня 2020 г.

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

автор: 毛毛

12 апр. 2019 г.

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

автор: Sumukh P O

30 июня 2020 г.

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

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: Hari K

2 июня 2021 г.

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

автор: Prince C S

9 сент. 2021 г.

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