Stanford University
Algorithms Specialization
Stanford University

Algorithms Specialization

Learn To Think Like A Computer Scientist. Master the fundamentals of the design and analysis of algorithms.

Tim Roughgarden

Instructor: Tim Roughgarden

123,574 already enrolled

Get in-depth knowledge of a subject
4.8

(5,658 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(5,658 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Taught in English

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Stanford University
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Specialization - 4 course series

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Critical Thinking
Category: Theoretical Computer Science
Category: Computer Programming
Category: Mathematics
Category: Mathematical Theory & Analysis
Category: Divide And Conquer Algorithms
Category: Programming Principles
Category: Problem Solving
Category: Sorting Algorithm
Category: Randomized Algorithm

Graph Search, Shortest Paths, and Data Structures

Course 213 hours4.8 (1,987 ratings)

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Critical Thinking
Category: Theoretical Computer Science
Category: Hash Table
Category: Graphs
Category: Computer Programming
Category: Graph Theory
Category: Mathematics
Category: Data Structure
Category: Software Engineering
Category: Problem Solving
Category: Data Structures

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Critical Thinking
Category: Theoretical Computer Science
Category: Computer Programming
Category: Graph Theory
Category: Spanning Tree
Category: Mathematical Theory & Analysis
Category: Dynamic Programming
Category: Programming Principles
Category: Data Structures
Category: Problem Solving
Category: Greedy Algorithm

What you'll learn

Skills you'll gain

Category: Algorithms
Category: Theoretical Computer Science
Category: Computer Programming
Category: Mathematics
Category: Graph Theory
Category: Data Structure
Category: Mathematical Theory & Analysis
Category: Dynamic Programming
Category: Np-Completeness
Category: Data Structures
Category: Problem Solving

Instructor

Tim Roughgarden
Stanford University
6 Courses370,826 learners

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