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.

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## 课程信息

### 学生职业成果

## 30%

## 24%

## 15%

### 您将获得的技能

### 学生职业成果

## 30%

## 24%

## 15%

#### 100% 在线

#### 第 3 门课程（共 6 门）

#### 可灵活调整截止日期

#### 中级

#### 完成时间大约为16 小时

#### 英语（English）

## 教学大纲 - 您将从这门课程中学到什么

**完成时间为 4 小时**

## Decomposition of Graphs 1

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 hot in Facebook, you're going to work with graphs and algorithms on graphs. In this module, you will learn ways to represent a graph as well as basic algorithms for decomposing graphs into parts. In the programming assignment of this module, you will apply the algorithms that you’ve learned to implement efficient programs for exploring mazes, analyzing Computer Science curriculum, and analyzing road networks. In the first week of the module, we focus on undirected graphs.

**完成时间为 4 小时**

**5 个视频**

**3 个阅读材料**

**完成时间为 4 小时**

## Decomposition of Graphs 2

This week we continue to study graph decomposition algorithms, but now for directed graphs.

**完成时间为 4 小时**

**4 个视频**

**1 个阅读材料**

**完成时间为 4 小时**

## Paths in Graphs 1

In this module you will study algorithms for finding Shortest Paths in Graphs. These algorithms have lots of applications. When you launch a navigation app on your smartphone like Google Maps or Yandex.Navi, it uses these algorithms to find you the fastest route from work to home, from home to school, etc. When you search for airplane tickets, these algorithms are used to find a route with the minimum number of plane changes. Unexpectedly, these algorithms can also be used to determine the optimal way to do currency exchange, sometimes allowing to earh huge profit! We will cover all these applications, and you will learn Breadth-First Search, Dijkstra's Algorithm and Bellman-Ford Algorithm. These algorithms are efficient and lay the foundation for even more efficient algorithms which you will learn and implement in the Shortest Paths Capstone Project to find best routes on real maps of cities and countries, find distances between people in Social Networks. In the end you will be able to find Shortest Paths efficiently in any Graph. This week we will study Breadth-First Search algorithm.

**完成时间为 4 小时**

**8 个视频**

**1 个阅读材料**

**完成时间为 5 小时**

## Paths in Graphs 2

This week we continue to study Shortest Paths in Graphs. You will learn Dijkstra's Algorithm which can be applied to find the shortest route home from work. You will also learn Bellman-Ford's algorithm which can unexpectedly be applied to choose the optimal way of exchanging currencies. By the end you will be able to find shortest paths efficiently in any Graph.

**完成时间为 5 小时**

**12 个视频**

**2 个阅读材料**

### 审阅

#### 4.7

##### 来自ALGORITHMS ON GRAPHS的热门评论

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.

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.

An awesome overview of the graph algorithms. Some assignments are really challenging, but luckily forums are a great place where people have already faced them. A definitive recommendation!

Overall good course, programming tasks are fun!\n\nHowever, some of the video lectures are only of average quality. Accent of the TA is sometimes confusing (fyi I'm not a native speaker).

This course is very much helpful for the graph beginners. As a suggestion, i would like to say that add some extra contents on the data structures which is to be used in the algorithm.

very well planned course and fairly challenging assignments. Would recommend this to anyone working as developer who does not have formal education in data structures and algorithms.

Awesome course! Learned a lot about graphs, and I thought it was super awesome. One recommendation is to make the proof videos more engaging, but otherwise, the course was perfect!

Very interesting and well presented course. I particularly wanted to learn more on graphs and this helped me get not only a basic but a more advanced understanding.

Fairly good course. I wish the edge cases for some of the programming assignments had some more discussions. Needed some sifting through the forums while stuck.

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

Great!\n\nHard concepts explained clearly and in depth, in the same fashion as the previous two courses (Algo Toolbox and Data Structure).\n\nGood job!

Great content! And explained very well. I was asked a question on graphs in my amazon interview. Wish I had taken the course earlier. Thanks!

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