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Hi, my name's Chao Kunnes.

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I'm a new professor in the Computational
Finance and Risk Management

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Program, in the Department of Applied

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Mathematics at the University of
Washington.

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And I'm going to be offering a course

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called Mathematical Methods for
Quantitative Finance on Coursera.

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So, a little bit about my background.

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I did a masters degree in applied
mathematics and

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then a doctorate in statistics at the
University of Oxford.

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And then I did

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a four year postdoc, at the Swiss

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Federal Institute of Technology in
Lausanne, Switzerland.

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Now, I've just joined the department here

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with a research area in computational
finance, where

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I'm hoping to apply some of my

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knowledge of statistics to problems in
quantitative finance.

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So the course I'm going to be offering is
going

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to be a pre-program course for our Masters
program.

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It's going to cover single and
multivariable calculus, linear algebra,

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optimization methods in finance and then
numerical

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techniques for solving these sorts of
problems.

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And the motivation for this course really
came from a lot of the students we were

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getting who are interested in applying for
our Masters in computational finance.

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And this is a very mathematical degree and
we were finding that a lot of

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otherwise well qualified people, people
who had either

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been working for several years in industry
or

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had undergraduate degrees in economics or
business

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finance, who would be ideal candidates for
our

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Masters program, who are just a little bit
ill prepared when it came to mathematics.

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And so we want to offer a course that's

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going to bring people like that up to
speed.

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And this would be useful, you know, if
you're looking to, get an internship

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or a job in the finance industry or if
you're interested in pursuing a degree

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in mathematical finance.

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And so, if you feel like you would fall
into either of these two

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groups of people, I'd really like to
invite you to take my course on Coursera.

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Thank you very much.