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学生对 University of California San Diego 提供的 Algorithms on Graphs 的评价和反馈

4.7
2,272 个评分

课程概述

If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect a set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs. In this online course, you will first learn what a graph is and what are some of the most important properties. Then you'll learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order. We will then talk about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services. You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. We will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms....

热门审阅

NG

Jun 27, 2019

Loved the explanations and proofs. They are so explicitly told. And the discussion forum for you well assorted problems in assignment is really helpful.

ED

Apr 15, 2021

This is my favorite course in the specialization, the lectures are really clear and the programming assignments are fun and really help to deeply understand everything

筛选依据:

126 - Algorithms on Graphs 的 150 个评论(共 362 个)

创建者 Prathmesh S J

May 18, 2020

Awesome Course But Some programming assignment are quit difficult to solve

创建者 Akshay K A

May 16, 2020

Brilliant course for beginners. A good introduction to graph algorithms.

创建者 Abdelrhman Y

Oct 20, 2017

the course is very useful and it is very good start at graph algorithms

创建者 Shivam k

Nov 28, 2020

very helpful in learning some of the most important algorithms of graph

创建者 Maksim P

Jan 27, 2019

Optional part is very good, gives a lot of practical problems to solve.

创建者 Sihua D

Sep 18, 2016

Great Course. Compact and clear. Learnt a great deal from it. Thanks!

创建者 Rahul G

Jun 25, 2020

Highly recommended for anybody who wants to brush up his graph skills.

创建者 Akash K B

Jun 24, 2020

the course is good with small videos and not being a language specific

创建者 PRABAL B D

Jan 20, 2020

Perfect Course to develop you understanding and coding skills in graph

创建者 Enrique A

Oct 27, 2020

Mil gracias maestro Alexander y demas docentes, Mil Gracias Coursera.

创建者 Victoire T

Mar 21, 2022

Simple and Clear explanation on some sophisticated graph algorithms.

创建者 Kaustubh J

Jun 10, 2019

Excellent course, definitely in my top 5 courses to take in coursera

创建者 Bardaan A

Jan 2, 2017

Incredible collection of graph algorithms. Thoroughly enjoyed it.

创建者 Mandava D

Dec 26, 2017

This is one of the best courses to start with Graph Algorithms.

创建者 Pablo E M M

Mar 1, 2018

Great! course. I lerned many things about graph and algorithm

创建者 felipe a

May 26, 2021

Great course, very challenging especially week 6 (optional).

创建者 Sebastián G P

Nov 8, 2020

A great course! It really makes you understand the problems.

创建者 Shihab S

Jun 21, 2020

It was helpfull for learning Graphs. Totally understandable.

创建者 Bjornn B O F F

Sep 11, 2017

All you always wanted to know about graphs are here. Awesome

创建者 Devanjan C

Sep 6, 2017

Very lucid and to the point info presented in the lectures.

创建者 VATSAL R

Apr 19, 2020

Really Helped me a lot to brush up my basics on graphs :-)

创建者 Kravchenko O

Mar 11, 2023

A nice course, covers 100% of algorithms I needed for Uni

创建者 Dennis K

May 20, 2018

Amazing class that helped me understand graph algorithms.

创建者 Saurab D

Apr 13, 2018

Excellent materials on graphs. Thanks to the instructors.

创建者 Manikant R

May 30, 2020

Excellent content, gives deep explanations of Algorithms