Comentários e feedback de alunos de Algorithms on Graphs da instituição Universidade da Califórnia, San Diego
Sobre o curso
Melhores avaliações
CS
30 de jun de 2019
Excellent Course for anyone looking to expertise Graph Algorithm. Professor's explained each problem and algorithm in a very easy to learn approach. Grades are tough and yet func to get challenged.
CC
6 de out de 2018
Good balance between theory and practice. The assignments are well thought to measure the understanding of videos, which I had to watch many times to grasp the hidden tips from the instructor.
301 — 325 de 341 Avaliações para o Algorithms on Graphs
por davila y
•17 de nov de 2018
great course, too bad it seems not being actively mananged
por Narongdej S
•10 de mar de 2020
Some topic are hard to follow because too few examples
por Mark R
•21 de set de 2017
Good course for understanding algorithms for graphs
por Yura K
•1 de fev de 2020
Not clear what is wrong on programming assignment
por Maksat H
•10 de jan de 2017
Was very informative course. Learned a lot stuff.
por Ruben C A
•28 de set de 2016
Interesting course to start learning about graphs
por Francisco
•13 de jul de 2017
This course is better than the previous 2 by far
por Biplab P
•25 de mai de 2020
Very good course with Quality Content.
por godkad
•9 de jun de 2016
Good Course material and Assignment.
por Nikhil Y
•7 de mai de 2020
it was great being a part of it!!
por Christian T
•10 de jan de 2017
Good sessions and assignments.
por swapnil s
•16 de jul de 2020
nice questions in assignments
por William v
•19 de set de 2016
I really enjoyed the course.
por Fermin Q
•14 de nov de 2016
Very good explanations
por Namrata P
•31 de mar de 2019
Amazing course
por Biraja D
•26 de fev de 2018
Nice course.
por Deleted A
•7 de dez de 2016
Great
por Ankit K
•14 de out de 2019
Nice
por Alexander M
•2 de abr de 2017
.
por Stephen T
•7 de ago de 2016
I must say I feel disappointed especially when the whole Data Structures and Algorithms series take this course as the selling point ( "you'll learn how to compute the fastest route between New York and Mountain View thousands of times faster than classic algorithms and close to those used in Google Maps", blablabla), but it turns out to be the least challenging course with only elementary introduction to the big topic. Perhaps the preparing time for this course is too short? I still miss the teaching style and assignment design of the first course of the series though. It would seem to be unwise to pay for the following courses if this continues on.
(FYI I was the among the first ones who take this series, and I have got 100% grade for each course ever since then.)
por Radim V
•7 de jun de 2017
For those who passed previous two courses in this Specialization, this course will probably be easy to pass, even if you aim at 100%. I liked the programming assignments, did not like videos that much. Used to find myself watching different explanations from the Web. On the other hand, if you want to absorb all stuff presented here, this course is not too easy IMHO.
por Jingying Z
•17 de mai de 2020
I like the syllabus and the homework but honestly the video can be confusing at many times. The very long explanation does not really explain the algorithms well, and I need to search for other online resource(s) which describes the algorithm in less than 5 min but does a far more better job.
por Nikita P
•12 de jul de 2017
Всё хорошо, но есть задачи, где (например) формат ввода накладывает ограничения на максимальную эффективность. Например, нет никакого смысла писать DSU для Крускала, если только ввод данных займёт n^2
por Pancerny M
•21 de abr de 2020
Good, challenging tasks and set of topics to learn. Great discussions on the forum. I don't like some of the lectures where pseudocode is just read by the lecturer.
por Prakhar A
•1 de jul de 2020
I am really frustrated after doing the assignments. I have done lot of stress testing but when I submit my code, it shows wrong answer.
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