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Scientific Computing

University of Washington via Coursera

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  • Provider Coursera
  • Subject Data Science
  • $ Cost Free Online Course (Audit)
  • Session Finished
  • Language English
  • Effort 10-15 hours a week
  • Start Date
  • Duration 10 weeks long

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Overview

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Investigate the flexibility and power of project-oriented computational analysis. Practice using this technique to resolve complicated problems in a range of fields including the physical and engineering sciences, finance and economics, medical, social and biological sciences. Enhance communication of information by creating visual representations of scientific data.

This course is a survey of numerical solution techniques for ordinary and partial differential equations. Emphasis will be on the application of numerical schemes to practical problems in the engineering and physical sciences. Apply advanced MATLAB routines and toolboxes to solve problems. Review and practice graphical techniques for information presentation and learn to create visual illustrations of scientific results

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Reviews for Coursera's Scientific Computing
3.7 Based on 3 reviews

  • 5 star 33%
  • 4 star 33%
  • 3 star 0%
  • 2 star 33%
  • 1 star 0%

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  • 1
Anonymous
2.0 6 years ago
Anonymous completed this course.
I only saw the first couple of weeks, so if it changed later I'm sorry for being unfair. The course goes against the spirit of MOOC courses: the videos weren't designed for the course itself, but most seem to be actual classes filmed. So you don't feel like having a full course, but just a compilation of some class videos. Furthermore the topics were confusing and not very well motivated.
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Marat M
4.0 3 years ago
by Marat partially completed this course.
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