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## 15%

### 您将获得的技能

Graph TheoryGraphsGraph Algorithms

1

## Decomposition of Graphs 1

5 个视频 （总计 43 分钟）, 3 个阅读材料, 1 个测验
5 个视频
Representing Graphs9分钟
Exploring Graphs14分钟
Connectivity5分钟
Previsit and Postvisit Orderings7分钟
3 个阅读材料
Welcome10分钟
Slides and External References10分钟
Slides and External References10分钟
2

## Decomposition of Graphs 2

4 个视频 （总计 36 分钟）, 1 个阅读材料, 1 个测验
4 个视频
Topological Sort9分钟
Strongly Connected Components7分钟
Computing Strongly Connected Components10分钟
1 个阅读材料
Slides and External References10分钟
3

## Paths in Graphs 1

8 个视频 （总计 55 分钟）, 1 个阅读材料, 1 个测验
8 个视频
Implementation and Analysis9分钟
Proof of Correctness7分钟
Proof of Correctness (continued)5分钟
Shortest-Path Tree6分钟
Reconstructing the Shortest Path3分钟
1 个阅读材料
Slides and External References10分钟
4

## Paths in Graphs 2

12 个视频 （总计 86 分钟）, 2 个阅读材料, 1 个测验
12 个视频
Naive Algorithm10分钟
Dijkstra's Algorithm: Intuition and Example7分钟
Dijkstra's Algorithm: Implementation3分钟
Dijkstra's Algorithm: Proof of Correctness4分钟
Dijkstra's Algorithm: Running Time7分钟
Currency Exchange6分钟
Currency Exchange: Reduction to Shortest Paths8分钟
Bellman-Ford Algorithm6分钟
Bellman-Ford Algorithm: Proof of Correctness6分钟
Negative Cycles7分钟
Infinite Arbitrage10分钟
2 个阅读材料
Slides and External References10分钟
Slides and External References10分钟
4.7
210 条评论

### 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.

### Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering

Lecturer
Computer Science

### Daniel M Kane

Assistant Professor
Department of Computer Science and Engineering / Department of Mathematics

### Neil Rhodes

Computer Science and Engineering

### 关于 加州大学圣地亚哥分校

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

### 关于 国立高等经济大学

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more. Learn more on www.hse.ru...

## 关于 数据结构与算法 专项课程

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....

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