课程信息
4.8
644 个评分
72 个审阅

第 3 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为22 小时

建议:4 weeks of study, 4-8 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Spanning TreeAlgorithmsDynamic ProgrammingGreedy Algorithm

第 3 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为22 小时

建议:4 weeks of study, 4-8 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

Week 1

Two motivating applications; selected review; introduction to greedy algorithms; a scheduling application; Prim's MST algorithm....
16 个视频 (总计 160 分钟), 4 个阅读材料, 2 个测验
16 个视频
Application: Sequence Alignment8分钟
Introduction to Greedy Algorithms12分钟
Application: Optimal Caching10分钟
Problem Definition5分钟
A Greedy Algorithm12分钟
Correctness Proof - Part I6分钟
Correctness Proof - Part II4分钟
Handling Ties [Advanced - Optional]7分钟
MST Problem Definition11分钟
Prim's MST Algorithm7分钟
Correctness Proof I15分钟
Correctness Proof II8分钟
Proof of Cut Property [Advanced - Optional]11分钟
Fast Implementation I14分钟
Fast Implementation II9分钟
4 个阅读材料
Week 1 Overview10分钟
Overview, Resources, and Policies10分钟
Lecture slides10分钟
Optional Theory Problems (Week 1)10分钟
2 个练习
Problem Set #110分钟
Programming Assignment #16分钟
2
完成时间为 4 小时

Week 2

Kruskal's MST algorithm and applications to clustering; advanced union-find (optional). ...
16 个视频 (总计 188 分钟), 2 个阅读材料, 2 个测验
16 个视频
Correctness of Kruskal's Algorithm9分钟
Implementing Kruskal's Algorithm via Union-Find I9分钟
Implementing Kruskal's Algorithm via Union-Find II13分钟
MSTs: State-of-the-Art and Open Questions [Advanced - Optional]9分钟
Application to Clustering11分钟
Correctness of Clustering Algorithm9分钟
Lazy Unions [Advanced - Optional]10分钟
Union-by-Rank [Advanced - Optional]12分钟
Analysis of Union-by-Rank [Advanced - Optional]14分钟
Path Compression [Advanced - Optional]14分钟
Path Compression: The Hopcroft-Ullman Analysis I [Advanced - Optional]9分钟
Path Compression: The Hopcroft-Ullman Analysis II [Advanced - Optional]11分钟
The Ackermann Function [Advanced - Optional]16分钟
Path Compression: Tarjan's Analysis I [Advanced - Optional]14分钟
Path Compression: Tarjan's Analysis II [Advanced - Optional]13分钟
2 个阅读材料
Week 2 Overview10分钟
Optional Theory Problems (Week 2)10分钟
2 个练习
Problem Set #210分钟
Programming Assignment #24分钟
3
完成时间为 2 小时

Week 3

Huffman codes; introduction to dynamic programming....
11 个视频 (总计 105 分钟), 1 个阅读材料, 2 个测验
11 个视频
Problem Definition10分钟
A Greedy Algorithm16分钟
A More Complex Example4分钟
Correctness Proof I10分钟
Correctness Proof II12分钟
Introduction: Weighted Independent Sets in Path Graphs7分钟
WIS in Path Graphs: Optimal Substructure9分钟
WIS in Path Graphs: A Linear-Time Algorithm9分钟
WIS in Path Graphs: A Reconstruction Algorithm6分钟
Principles of Dynamic Programming7分钟
1 个阅读材料
Week 3 Overview10分钟
2 个练习
Problem Set #310分钟
Programming Assignment #36分钟
4
完成时间为 3 小时

Week 4

Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees....
10 个视频 (总计 107 分钟), 3 个阅读材料, 3 个测验
10 个视频
A Dynamic Programming Algorithm9分钟
Example [Review - Optional]12分钟
Optimal Substructure13分钟
A Dynamic Programming Algorithm12分钟
Problem Definition12分钟
Optimal Substructure9分钟
Proof of Optimal Substructure6分钟
A Dynamic Programming Algorithm I9分钟
A Dynamic Programming Algorithm II9分钟
3 个阅读材料
Week 4 Overview10分钟
Optional Theory Problems (Week 4)10分钟
Info and FAQ for final exam10分钟
3 个练习
Problem Set #410分钟
Programming Assignment #44分钟
Final Exam20分钟
4.8
72 个审阅Chevron Right

38%

完成这些课程后已开始新的职业生涯

45%

通过此课程获得实实在在的工作福利

14%

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热门审阅

创建者 JPOct 20th 2018

Great learning experience!!!\n\nI love dynamic p the most.\n\nAssignment 4 is so challenging that it takes me a week to finish the program and debug it!!!

创建者 JFJan 14th 2018

I love Tim's excitement for algorithms. He really stands out as a quality teacher in his selection of content, explanations and enthusiasm.

讲师

Avatar

Tim Roughgarden

Professor
Computer Science

关于 斯坦福大学

The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States....

关于 算法 专项课程

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists. About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications....
算法

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