• Anytime
    Application Deadline
  • 21 days
    Duration
This Geometric Algorithms offered by Coursera in partnership with EIT Digital deals with the algorithmic aspects of these tasks: we study techniques and concepts needed for the design and analysis of geometric algorithms and data structures. 
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Overview

This Geometric Algorithms offered by Coursera in partnership with EIT Digital will let participants to:

  • decide which algorithm or data structure to use in order to solve a given basic geometric problem,
  • analyze new problems and come up with their own efficient solutions using concepts and techniques from the course.

The video lectures contain a few very minor mistakes. A list of these mistakes can be found under resources. If you think you found an error, report a problem by clicking the square flag at the bottom of the lecture or quiz where you found the error.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 21 days
    • Duration description
      • Approx. 12 hours to complete
      • Suggested: 3 weeks of study, 5-6 hours/week
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Courses include:

  • Plane Sweep Algorithms
  • Voronoi diagrams and Delaunay triangulations
  • Orthogonal range searching

Details on Coursera Plus:

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English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

In order to successfully take this course, you should already have a basic knowledge of algorithms and mathematics. Here's a short list of what you are supposed to know:

  • O-notation, Ω-notation, Θ-notation; how to analyze algorithms
  • Basic calculus: manipulating summations, solving recurrences, working with logarithms, etc.
  • Basic probability theory: events, probability distributions, random variables, expected values etc.
  • Basic data structures: linked lists, binary search trees, etc.
  • Graph terminology
  • Programming skills for practical assignments

Tuition Fee

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Visit Programme Website

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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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