課程信息
69,691 次近期查看

第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為17 小時

建議:5 weeks of study, 3-4 hours/week...

英語(English)

字幕:英語(English)

您將獲得的技能

Graph TheoryGraphsGraph Algorithms

第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為17 小時

建議:5 weeks of study, 3-4 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Decomposition of Graphs 1

5 個視頻 (總計 43 分鐘), 3 個閱讀材料, 1 個測驗
5 個視頻
Representing Graphs9分鐘
Exploring Graphs14分鐘
Connectivity5分鐘
Previsit and Postvisit Orderings7分鐘
3 個閱讀材料
Welcome10分鐘
Slides and External References10分鐘
Slides and External References10分鐘
2
完成時間為 4 小時

Decomposition of Graphs 2

4 個視頻 (總計 36 分鐘), 1 個閱讀材料, 1 個測驗
4 個視頻
Topological Sort9分鐘
Strongly Connected Components7分鐘
Computing Strongly Connected Components10分鐘
1 個閱讀材料
Slides and External References10分鐘
3
完成時間為 4 小時

Paths in Graphs 1

8 個視頻 (總計 55 分鐘), 1 個閱讀材料, 1 個測驗
8 個視頻
Breadth-First Search7分鐘
Breadth-First Search (continued)6分鐘
Implementation and Analysis9分鐘
Proof of Correctness7分鐘
Proof of Correctness (continued)5分鐘
Shortest-Path Tree6分鐘
Reconstructing the Shortest Path3分鐘
1 個閱讀材料
Slides and External References10分鐘
4
完成時間為 5 小時

Paths in Graphs 2

12 個視頻 (總計 86 分鐘), 2 個閱讀材料, 1 個測驗
12 個視頻
Naive Algorithm10分鐘
Dijkstra's Algorithm: Intuition and Example7分鐘
Dijkstra's Algorithm: Implementation3分鐘
Dijkstra's Algorithm: Proof of Correctness4分鐘
Dijkstra's Algorithm: Running Time7分鐘
Currency Exchange6分鐘
Currency Exchange: Reduction to Shortest Paths8分鐘
Bellman-Ford Algorithm6分鐘
Bellman-Ford Algorithm: Proof of Correctness6分鐘
Negative Cycles7分鐘
Infinite Arbitrage10分鐘
2 個閱讀材料
Slides and External References10分鐘
Slides and External References10分鐘
4.7
199 個審閱Chevron Right

32%

完成這些課程後已開始新的職業生涯

25%

通過此課程獲得實實在在的工作福利

17%

加薪或升職

來自Algorithms on Graphs的熱門評論

創建者 CSJul 1st 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.

創建者 CCOct 7th 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.

講師

Avatar

Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering
Avatar

Michael Levin

Lecturer
Computer Science
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Daniel M Kane

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

Adjunct Faculty
Computer Science and Engineering

關於 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....

關於 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...

關於 数据结构与算法 專項課程

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....
数据结构与算法

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