About this Specialization

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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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Flexible Schedule
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Intermediate Level
Approximately 4 months to complete
Suggested pace of 4 hours/week
English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approximately 4 months to complete
Suggested pace of 4 hours/week
English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 4 Courses in this Specialization

Course1

Course 1

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

4.8
stars
4,656 ratings
903 reviews
Course2

Course 2

Graph Search, Shortest Paths, and Data Structures

4.8
stars
1,828 ratings
217 reviews
Course3

Course 3

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

4.8
stars
1,156 ratings
139 reviews
Course4

Course 4

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

4.8
stars
740 ratings
102 reviews

Offered by

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Stanford University

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