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Algorithms on Graphs Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Algorithms on Graphs course offered by Coursera in partnership with UC San Diego, you will learn what a graph is and what are some of the most important properties

Overview

If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! 

If you're looking for the fastest time to get to work, cheapest way to connect a set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.

Key Facts

During this Algorithms on Graphs course offered by Coursera in partnership with UC San Diego, you will learnuseful things while traversing the graph in some order. You will discuss about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services. 

You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. You will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.

Build your subject-matter expertise

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

Skills you'll gain

  • Algorithms
  • Data Structures
  • Graph Theory
  • Theoretical Computer Science
  • Computer Programming

Programme Structure

Courses included:

  • Representing Graphs
  • Previsit and Postvisit Orderings
  • Topological Sort
  • Computing Strongly Connected Components
  • Paths and Distances
  • Implementation and Analysis

Key information

Duration

  • Part-time
    • 2 months
    • 9 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate level
  • Some related experience required
  • This course is aimed at learners interested in computer science who want to develop skills in graph algorithms to solve real‑world problems such as network optimization, routing, and data analysis.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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