Shortest Paths Revisited, NP-Complete Problems and What To Do About Them, Certificate | Part time online | Coursera | United States
1 months
Duration
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About

The Shortest Paths Revisited, NP-Complete Problems and What To Do About Them course offered by Coursera in partnership with Stanford is part of the Algorithms Specialization.

Visit the Visit programme website for more information

Overview

The primary topics in this part of the Shortest Paths Revisited, NP-Complete Problems and What To Do About Them course offered by  Coursera in partnership with Stanford are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Skills You Will Gain

  • Data Structure
  • Algorithms
  • Np-Completeness
  • Dynamic Programming

Programme Structure

Courses included:

  • Week 1

The Bellman-Ford algorithm; all-pairs shortest paths.

  • Week 2

NP-complete problems and exact algorithms for them.

  • Week 3

Approximation algorithms for NP-complete problems.

  • Week 4

Local search algorithms for NP-complete problems; the wider world of algorithms.

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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