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Avis et commentaires pour d'étudiants pour Algorithms on Graphs par Université de Californie à San Diego

4.7
étoiles
1,328 évaluations
210 avis

À propos du cours

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 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 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. Do you have technical problems? Write to us: coursera@hse.ru...

Meilleurs avis

CS

Jul 01, 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

Oct 07, 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.

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76 - 100 sur 201 Avis pour Algorithms on Graphs

par Tarun G

Jun 06, 2016

great course .... everything taught in order ... not so fast and not so slow

par yousrijames

Oct 20, 2017

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

par Попов М П

Jan 28, 2019

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

par Sihua D

Sep 18, 2016

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

par PRABAL B D

Jan 20, 2020

Perfect Course to develop you understanding and coding skills in graph

par Kaustubh K J

Jun 10, 2019

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

par Bardaan A

Jan 02, 2017

Incredible collection of graph algorithms. Thoroughly enjoyed it.

par Mandava D

Dec 26, 2017

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

par Pablo E M M

Mar 01, 2018

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

par Bjornn B O F F

Sep 12, 2017

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

par Devanjan C

Sep 07, 2017

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

par Dennis K

May 21, 2018

Amazing class that helped me understand graph algorithms.

par Saurab D

Apr 14, 2018

Excellent materials on graphs. Thanks to the instructors.

par Max P Z

Dec 26, 2016

very nice course. The content covered is very useful.

par Xi Y

Aug 02, 2016

Why don't you put it in the Data Structures course?

par Virginia R A

Aug 18, 2016

Excellent! I learn some new algorithms on graphs.

par g

Aug 23, 2016

useful and fundamental, interesting assignment

par Sankaranarayanan G

Jun 10, 2016

Excellent inputs on graph theoretic algorithms

par Shravan M

Jul 13, 2016

Good work ! Every concept is well explained !

par Shubhra A

Jan 24, 2019

One of the best courses I have ever taken !

par Debasish M

Jul 09, 2016

Neat and suitable examples for each topics.

par Rohit K

Aug 17, 2019

Superb course with really good content :)

par RUOCHI Z

Feb 09, 2019

thanks for providing the amazing courses

par Neng-Yu T

Jun 19, 2017

Practical lesson and assignments, strong

par NISHANT S

Sep 04, 2016

Good Questions and very good Test Cases.