This course is part of the Algorithms Specialization

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Tim Roughgarden

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Algorithms SpecializationStanford University

About this Course

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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).

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Shareable Certificate

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Course 2 of 4 in the

Algorithms Specialization

Intermediate Level

Approx. 15 hours to complete

English

Skills you will gain

Graphs
Data Structure
Algorithms
Hash Table

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Algorithms Specialization

Intermediate Level

Approx. 15 hours to complete

English

Instructor

Instructor rating

4.85/5 (116 Ratings)

Tim Roughgarden

Offered by

Stanford University

Syllabus - What you will learn from this course

Content Rating93%(3,045 ratings)

Week

Week 1

4 hours to complete

Week 1

4 hours to complete

9 videos (Total 162 min), 4 readings, 2 quizzes

9 videos

Graph Search - Overview23m

Breadth-First Search (BFS): The Basics14m

BFS and Shortest Paths7m

BFS and Undirected Connectivity13m

Depth-First Search (DFS): The Basics7m

Topological Sort21m

Computing Strong Components: The Algorithm29m

Computing Strong Components: The Analysis26m

Structure of the Web [Optional]18m

4 readings

Week 1 Overview10m

Overview, Resources, and Policies10m

Lecture slides10m

Optional Theory Problems (Week 1)10m

2 practice exercises

Problem Set #130m

Programming Assignment #130m

Week

Week 2

3 hours to complete

Week 2

3 hours to complete

4 videos (Total 79 min), 2 readings, 2 quizzes

Week

Week 3

4 hours to complete

Week 3

4 hours to complete

9 videos (Total 142 min), 1 reading, 2 quizzes

9 videos

Data Structures: Overview4m

Heaps: Operations and Applications18m

Heaps: Implementation Details [Advanced - Optional]20m

Balanced Search Trees: Operations and Applications10m

Binary Search Tree Basics, Part I13m

Binary Search Tree Basics, Part II30m

Red-Black Trees21m

Rotations [Advanced - Optional]7m

Insertion in a Red-Black Tree [Advanced]14m

1 reading

Week 3 Overview10m

2 practice exercises

Problem Set #330m

Programming Assignment #330m

Week

Week 4

5 hours to complete

Week 4

5 hours to complete

9 videos (Total 171 min), 3 readings, 3 quizzes

9 videos

Hash Tables: Operations and Applications19m

Hash Tables: Implementation Details, Part I18m

Hash Tables: Implementation Details, Part II22m

Pathological Data Sets and Universal Hashing Motivation21m

Universal Hashing: Definition and Example [Advanced - Optional]25m

Universal Hashing: Analysis of Chaining [Advanced - Optional]18m

Hash Table Performance with Open Addressing [Advanced - Optional]15m

Bloom Filters: The Basics15m

Bloom Filters: Heuristic Analysis13m

3 readings

Week 4 Overview10m

Optional Theory Problems (Week 4)10m

Info and FAQ for final exam10m

3 practice exercises

Problem Set #430m

Programming Assignment #430m

Final Exam30m

Reviews

4.8

229 reviews

5 stars
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4 stars
11.48%
3 stars
1.71%
2 stars
0.25%
1 star
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TOP REVIEWS FROM GRAPH SEARCH, SHORTEST PATHS, AND DATA STRUCTURES

by HLMar 1, 2021

There is very little hand-holding in this course and no code provided. This really challenges you to implement the ideas taught in the most efficient and appropriate manner possible.

by OKOct 30, 2021

The course was very interesting. As a person who struggles with problem-solving, I found this course very helpful because the professor's ideas are well explained. It makes me to learn more.

by HCNov 11, 2017

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.

by JAOct 15, 2018

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.

View all reviews

About the Algorithms Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Graph Search, Shortest Paths, and Data Structures

About this Course

Skills you will gain