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Hi, my name is Nathan Kutz and I'm a
professor and chair of applied mathematics

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at the University of Washington.
I'm here to tell you a little bit about

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scientific computing, and the course that
you are looking at right now.

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This course was developed over a decade
ago at the University of Washington, to

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address the needs, of the students in the
engineering, physical and biological

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sciences.
In particular, today, it's very difficult

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to do any kind of scientific work without
having computational fluency.

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The course tries to highlight the major
themes and techniques used mathematically

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from such diverse fields as biology to
physics.

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It is a first of three courses offered by
Corsera from applied mathematics.

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This course being scientific computing,
the second being data analysis, and the

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third course being high performance
computing.

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Combined together, they offer a wonderful
survey of the methods and techniques in

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scientific computing.
What's needed for this course is a strong

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background in linear algebra, differential
equations and some background in

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algorithim and programing development.
With those skill sets and a lot of work,

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you can wi, work your way through and
cover the major themes and techniques

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mathematically that allow you to solve
some of the world's most complex problems.

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In fact, the challenges posed by today's
modern computation.

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Such as solving for how neurons interact
in the brain for doing computations and

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functionality or for solving for very
complex systems such as predicting weather

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or climate changes; are the kind of things
we're after in doing scientific computing.

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I hope you'll join me in this course.
I think you will find it to be a wonderful

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experience, and that you will learn a
great meaning of mathematical techniques

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and cutting edge methods that you can use
and apply across a great range of science.