list 10 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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Key information

credit_card Free access
timer 50 hours in total

About the content

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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Syllabus

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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Instructors

  • Randall LeVeque - Department of Applied Mathematics
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Content designer

University of Washington

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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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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