The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 4 小时
Week 1
Breadth-first and depth-first search; computing strong components; applications.
9 个视频 （总计 162 分钟）, 4 个阅读材料, 2 个测验
9 个视频
Breadth-First Search (BFS): The Basics14分钟
BFS and Shortest Paths7分钟
BFS and Undirected Connectivity13分钟
Depth-First Search (DFS): The Basics7分钟
Topological Sort21分钟
Computing Strong Components: The Algorithm29分钟
Computing Strong Components: The Analysis26分钟
Structure of the Web [Optional]18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 #12分钟
周
2完成时间为 2 小时
Week 2
Dijkstra's shortest-path algorithm.
4 个视频 （总计 79 分钟）, 2 个阅读材料, 2 个测验
4 个视频
Dijkstra's Algorithm: Examples12分钟
Correctness of Dijkstra's Algorithm19分钟
Dijkstra's Algorithm: Implementation and Running Time26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 #22分钟
周
3完成时间为 3 小时
Week 3
Heaps; balanced binary search trees.
9 个视频 （总计 142 分钟）, 1 个阅读材料, 2 个测验
9 个视频
Heaps: Operations and Applications18分钟
Heaps: Implementation Details [Advanced - Optional]20分钟
Balanced Search Trees: Operations and Applications10分钟
Binary Search Tree Basics, Part I13分钟
Binary Search Tree Basics, Part II30分钟
Red-Black Trees21分钟
Rotations [Advanced - Optional]7分钟
Insertion in a Red-Black Tree [Advanced]14分钟
1 个阅读材料
Week 3 Overview10分钟
2 个练习
Problem Set #310分钟
Programming Assignment #32分钟
周
4完成时间为 4 小时
Week 4
Hashing; bloom filters.
9 个视频 （总计 171 分钟）, 3 个阅读材料, 3 个测验
9 个视频
Hash Tables: Implementation Details, Part I18分钟
Hash Tables: Implementation Details, Part II22分钟
Pathological Data Sets and Universal Hashing Motivation21分钟
Universal Hashing: Definition and Example [Advanced - Optional]25分钟
Universal Hashing: Analysis of Chaining [Advanced - Optional]18分钟
Hash Table Performance with Open Addressing [Advanced - Optional]15分钟
Bloom Filters: The Basics15分钟
Bloom Filters: Heuristic Analysis13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 #42分钟
Final Exam20分钟
4.8
122 个审阅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
热门审阅
Interesting problems and explanations. But mathematical analysis is going off of my mind. It has very good explanation. Not sure, whether I can carry forward that knowledge or not.
Focused on principles and motivations behind algorithms. You might forget an algorithm you learned, but you will definitely be able to come up with one quickly after this course.
讲师
Tim Roughgarden
ProfessorComputer 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.
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