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Voltar para Graph Search, Shortest Paths, and Data Structures

Comentários e feedback de alunos de Graph Search, Shortest Paths, and Data Structures da instituição Universidade de Stanford

4.8
estrelas
1,880 classificações
224 avaliações

Sobre o curso

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis)....

Melhores avaliações

OK

30 de out de 2021

The course was very interesting. As a person who struggles with problem-solving, I found this course very helpful because the professor's ideas are well explained. It makes me to learn more.

DS

29 de mar de 2020

Awesome course! Professor Roughgarden is fantastic. The material was appropriately challenging. Perfect amount of rigor. Only one minor squabble: the hash problem set is terribly misleading.

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201 — 222 de 222 Avaliações para o Graph Search, Shortest Paths, and Data Structures

por Hao W

23 de mar de 2021

The first programming assignment is most challenging, while the rest are easier. I expect the assignments are designed in a more consistent way.

por Joseph B

9 de ago de 2018

This course was much harder than the first one. Plan to spend extra time doing the assignments. However, it is totally worth it!

por PLN R

17 de jun de 2018

Great course! Best one for refreshing concepts! Can act as a starting point too! Absolutely love the explanation.

por Marko D

15 de jan de 2020

Great coverage of graphs and basic implementations. Wish hash implementation was discussed in more details.

por Manu A

9 de fev de 2020

more examples of hashing algorithms could have been introduced (like consistent hashing, Murmur hash etc.)

por Rudransh J

4 de mai de 2020

An exhaustive and engaging course. Recommended if you can work hard with dedication. Overall very nice

por Fan Y

1 de mai de 2018

The optional components seem to be important to answer the quizzes and questions for some weeks.

por Utsav S

27 de jul de 2020

it helped me a lot specially the hash table content portion..Thanks a lot

por ALLA K R

15 de jan de 2020

i understand algorithms very well thank u for learning me more detail

por Sandeep P

8 de set de 2018

Very nice introduction to Graph Search. Thanks to the instructors!

por Toader A

6 de dez de 2020

Mentor help is almost non-existent.

por Mohit S

28 de jun de 2017

NICE CONTENT.

por Rakshit G

17 de dez de 2016

Good learning

por Christophe K

29 de dez de 2020

good

por Sudhanshu B

4 de mar de 2020

I feel it is an ok course, however the assignments can be made better. The assignments in Alogorithms offered by princeton are more interesting and meaningful.

por Michael B

7 de ago de 2017

Some of the problem sets were a little fiddly. Especially the last one, which was crushingly terrible if you tried to actual use the solution he told you to.

por Joern K

30 de ago de 2018

Sometimes badly synchronized, there are also mistakes in the videos which haven't been corrected.

por Nadanai L

30 de mar de 2019

Wonderful material but some issues with programming assignments which need updating

por Tianyi Z

16 de jul de 2018

The first programming assignment is just too bad.

por Prasanna M R

5 de abr de 2017

good in depth knowedge.

por Aditya A

29 de jul de 2020

the audio is not in sync with the video.