About this Course
최근 조회 47,374

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 17시간 필요

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


자막: 영어

귀하가 습득할 기술

Graph TheoryGraphsGraph Algorithms

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 17시간 필요

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


자막: 영어

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 4시간 필요

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.

5 videos (Total 43 min), 3 readings, 1 quiz
5개의 동영상
Representing Graphs9m
Exploring Graphs14m
Previsit and Postvisit Orderings7m
3개의 읽기 자료
Slides and External References10m
Slides and External References10m
완료하는 데 4시간 필요

Decomposition of Graphs 2

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

4 videos (Total 36 min), 1 reading, 1 quiz
4개의 동영상
Topological Sort9m
Strongly Connected Components7m
Computing Strongly Connected Components10m
1개의 읽기 자료
Slides and External References10m
완료하는 데 4시간 필요

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.

8 videos (Total 55 min), 1 reading, 1 quiz
8개의 동영상
Breadth-First Search7m
Breadth-First Search (continued)6m
Implementation and Analysis9m
Proof of Correctness7m
Proof of Correctness (continued)5m
Shortest-Path Tree6m
Reconstructing the Shortest Path3m
1개의 읽기 자료
Slides and External References10m
완료하는 데 5시간 필요

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.

12 videos (Total 86 min), 2 readings, 1 quiz
12개의 동영상
Naive Algorithm10m
Dijkstra's Algorithm: Intuition and Example7m
Dijkstra's Algorithm: Implementation3m
Dijkstra's Algorithm: Proof of Correctness4m
Dijkstra's Algorithm: Running Time7m
Currency Exchange6m
Currency Exchange: Reduction to Shortest Paths8m
Bellman-Ford Algorithm6m
Bellman-Ford Algorithm: Proof of Correctness6m
Negative Cycles7m
Infinite Arbitrage10m
2개의 읽기 자료
Slides and External References10m
Slides and External References10m
완료하는 데 4시간 필요

Minimum Spanning Trees

In this module, we study the minimum spanning tree problem. We will cover two elegant greedy algorithms for this problem: the first one is due to Kruskal and uses the disjoint sets data structure, the second one is due to Prim and uses the priority queue data structure. In the programming assignment for this module you will be computing an optimal way of building roads between cities and an optimal way of partitioning a given set of objects into clusters (a fundamental problem in data mining).

5 videos (Total 53 min), 1 reading, 1 quiz
5개의 동영상
Greedy Algorithms4m
Cut Property9m
Kruskal's Algorithm15m
Prim's Algorithm13m
1개의 읽기 자료
Slides and External References10m
완료하는 데 34시간 필요

Advanced Shortest Paths Project (Optional)

In this module, you will learn Advanced Shortest Paths algorithms that work in practice 1000s (up to 25000) of times faster than the classical Dijkstra's algorithm on real-world road networks and social networks graphs. You will work on a Programming Project based on these algorithms. You will find the shortest paths on the real maps of parts of US and the shortest paths connecting people in the social networks. We encourage you not only to use the ideas from this module's lectures in your implementations, but also to come up with your own ideas for speeding up the algorithm! We encourage you to compete on the forums to see whose implementation is the fastest one :)

17 videos (Total 130 min), 3 readings, 2 quizzes
17개의 동영상
Bidirectional Search10m
Six Handshakes6m
Bidirectional Dijkstra5m
Finding Shortest Path after Meeting in the Middle9m
Computing the Distance2m
A* Algorithm11m
Performance of A*2m
Bidirectional A*6m
Potential Functions and Lower Bounds5m
Landmarks (Optional)10m
Highway Hierarchies and Node Importance7m
Witness Search10m
Proof of Correctness9m
Node Ordering14m
3개의 읽기 자료
Slides and External References10m
Slides and External References10m
Slides and External Refernces10m
1개 연습문제
Bidirectional Dijkstra, A* and Contraction Hierarchies1h
173개의 리뷰Chevron Right


이 강좌를 수료한 후 새로운 경력 시작하기


이 강좌를 통해 확실한 경력상 이점 얻기

Algorithms on Graphs의 최상위 리뷰

대학: SKApr 24th 2018

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.

대학: EMSep 23rd 2017

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!



Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering

Michael Levin

Computer Science

Daniel M Kane

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

Neil Rhodes

Adjunct Faculty
Computer Science and Engineering

캘리포니아 샌디에고 대학교 정보

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....

국립 연구 고등 경제 대학 정보

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...

데이터 구조 및 알고리즘 전문 분야 정보

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....
데이터 구조 및 알고리즘

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.