date_range Débute le 20 février 2015
event_note Se termine le 1 mai 2015
list 10 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
timer 50 heures de cours

En résumé

Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

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Le programme

The use of a variety of languages and techniques will be integrated throughout the course as much as possible, rather than taught linearly. The topics below will be covered at an introductory level, with the goal of learning enough to feel comfortable starting to use them in your everyday work. Once you've reached that level, abundant resources are available on the web to learn the more advanced features that are most relevant for you.

  • Working at the command line in Unix-like shells (e.g. Linux or a Mac OSX terminal).
  • Version control systems, particularly git, and the use of Github and Bitbucket repositories.
  • Work habits for documentation of your code and reproducibility of your results.
  • Interactive Python using IPython, and the IPython Notebook.
  • Python scripting and its uses in scientific computing.
  • Subtleties of computer arithmetic that can affect program correctness.
  • How numbers are stored: binary vs. ASCII representations, efficient I/O.
  • Fortran 90, a compiled language that is widely used in scientific computing.
  • Makefiles for building software and checking dependencies.
  • The high cost of data communication.  Registers, cache, main memory, and how this memory hierarchy affects code performance. 
  • OpenMP on top of Fortran for parallel programming of shared memory computers, such as a multicore laptop.
  •  MPI on top of Fortran for distributed memory parallel programming, such as on a cluster.
  • Parallel computing in IPython.
  • Debuggers, unit tests, regression tests, verification and validation of computer codes.
  • Graphics and visualization of computational results using Python.
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Les intervenants

  • Randall LeVeque - Department of Applied Mathematics
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Le concepteur

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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