<commit_before># Applied Linear Algebra

The University of British Columbia -- Math 307 Section 202 -- Jan-Apr 2016

* Lectures:  T-Th 11am-12:30pm in Leonard S. Klink Room 200
* Instructor: <NAME>
* Email: <EMAIL>
* Office Hours: Th 12:30-1:30pm in Math 238

## Textbook

There is no required textbook for this course. Instead there is a set of typed notes designed for this course, which is available on the [course github site](https://github.com/midvalestudent/Math307JanApr2016).  You will also find the hand-written notes from the class lectures posted in the same place.  

If you would like to consult a book you may find these useful:

* Linear Algebra and its Applications by <NAME>
* Elementary Linear Algebra with Applications by <NAME> and <NAME>

Help is available online for getting started in Matlab, Octave and Python.  If you are using Matlab or Octave, you may find this [help page on Matlab/Octave](http://www.yanivplan.com/matlaboctave-help) useful.

## Outline

This course is organized around a collection of interesting applications.  Examples include:

* Interpolation
* Finite difference approximations
* Formula matrix of a chemical system
* Least Squares
* Fourier series
* Graphs and Networks<commit_msg>Added Piazza sign-up link<commit_after># Applied Linear Algebra

The University of British Columbia -- Math 307 Section 202 -- Jan-Apr 2016

* Lectures:  T-Th 11am-12:30pm in Leonard S. Klink Room 200
* Instructor: <NAME>
* Email: <EMAIL>
* Office Hours: Th 12:30-1:30pm in Math 238
* Web: [Piazza sign-up](piazza.com/ubc.ca/winterterm22015/sisubcmath3072022015w261015)

## Textbook

There is no required textbook for this course. Instead there is a set of typed notes designed for this course, which is available on the [course github site](https://github.com/midvalestudent/Math307JanApr2016).  You will also find the hand-written notes from the class lectures posted in the same place.  

If you would like to consult a book you may find these useful:

* Linear Algebra and its Applications by <NAME>
* Elementary Linear Algebra with Applications by <NAME> and <NAME>

Help is available online for getting started in Matlab, Octave and Python.  If you are using Matlab or Octave, you may find this [help page on Matlab/Octave](http://www.yanivplan.com/matlaboctave-help) useful.

## Outline

This course is organized around a collection of interesting applications.  Examples include:

* Interpolation
* Finite difference approximations
* Formula matrix of a chemical system
* Least Squares
* Fourier series
* Graphs and Networks
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