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Voltar para Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Comentários e feedback de alunos de Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming da instituição Universidade de Stanford

1,189 classificações

Sobre o curso

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees)....

Melhores avaliações


29 de jun de 2018

Tim Roughgarden is a fantastic teacher! He really cares about explaining in a simple manner and also give you useful hints and advices to dive deeper in all the topics of the course. Thanks, Tim!


26 de abr de 2020

I learned more about Greedy Algorithms and Algorithms to compute MST's and their importance on real world problems. Also I got to start to understand Dynamic Programming in a way I didn't before.

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26 — 50 de 139 Avaliações para o Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

por Kelvin

11 de nov de 2017

This course is really challenging compared to previous courses. Problems introduced in Dynamic Programming are harder than I expected and course books they recommended will be needed to understand better about the lecturers of this course.

por Timi

23 de jan de 2021

This course has the most intuitive explanation of dynamic programming that I've ever seen. Tim sometimes speaks too fast, but if you slow down the video and take the time to understand what he's saying, you'll learn a lot.

por Rodolphe L

15 de mar de 2018

I thought this course was kind of harder than the 2 previous one in the specialization (mainly the problems sets which require way more thinking)

It's a very good quality course to strenghten the basics, but in depth.

por Huimin M

10 de jan de 2021

This course is very useful in deeply understanding the algorithm design and complexity. The problem set is actually very challenging to me. I would say it is the most challenging so far. So go take it.

por Aria B

23 de abr de 2020

Like the other courses in this specialization, the material is interesting and coherent. The pace is not fast enough to get lost and not so slow to insult your intelligence. I enjoyed it a lot!

por --

18 de abr de 2021

Great course, sometimes hard to understand, especially when teacher uses figures of speech. I want more practical assignments like for sequence alignment and kruskal implementation.

por Shubham C

31 de dez de 2020

Best (not one of the best) course available on web to learn theoretical algorithms. You will love it. Enjoy new journey and perspect to view and analyze algorithms. Loved it damn!

por Jephte E

27 de dez de 2019

I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.

por Neil S

14 de mar de 2020

Very well explained and I learned a lot from the course. Recommended to anyone for learning Algorithms. Some of the problem sets make you think outside the box.

por Charles H

29 de jan de 2019

Some assigments are really difficult. Often I was glad to read some tips in the forum. But the course is definitely challenging and makes you learn many things.

por Dustin Z

30 de jan de 2021

A very good and challenging course. A great introduction to dynamic programming with many examples to practice and learn multiple programming paradigms.

por 谷心洋

11 de mar de 2020

Great course overall, but the problem sets are short of answers or explanations, so sometimes I feel really hard to understander some questions.

por Alexey Z

11 de mar de 2020

A bit more difficult course comparing to the first two parts. Be prepared to spend more times on problem solving and programming assignments.

por Johnathan F

14 de jan de 2018

I love Tim's excitement for algorithms. He really stands out as a quality teacher in his selection of content, explanations and enthusiasm.

por Shiv K

16 de out de 2017

Fantastic course that covered a good variety of content in sufficient details and delves into the fundamentals without sacrificing clarity.

por Ameen J

9 de fev de 2017

I love how clear the videos (and notes) are and re-watching them really helped a lot! I wish there was more discussion on the forms though!

por Subodh C

23 de set de 2017

A more explanatory answer sheet would be helpful. Might need to be secured via limited time login session to avoid leaking on the web.

por Quentin A

6 de mai de 2017

Outstanding course. Prof. Roughgarden is enthusiastic. The lectures, programming problems, and readings build a solid understanding.

por Cole F

11 de mar de 2018

More difficult than previous sections of the course, but thoroughly enjoyable. Looking forward to the final iteration of this series!

por Yosef A

4 de fev de 2021

This course has wonderful lectures coupled with challenging but rewarding homework problems. It was a wonderful learning experience.

por Qinghua Z

23 de nov de 2017

I like this course, though some programming assignments takes me much time. It worth doing it. I learn a lot from this course.

por Ricardo D

31 de dez de 2018

Great Pace - good examples - always going to the point - clear and providing good info in regards to the subject in study.

por Brande G

3 de jul de 2018

A great course, likewise the other courses in the series. It is probably the best series of algorithmic thinking courses.

por Sriram V

6 de set de 2020

This specialization gets harder and harder. But the instructor is amazing and the course is designed beautifully.

por Genyu Z

21 de ago de 2019

It's nice. Teacher can give me inspirations from different point of views, which teaches me a lot. Thanks!