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Course Resources:

Welcome to the course resources page. Here you will find helpful links to materials used in this course.

Prerequisites

Solid background in ODEs and familiarity with PDEs and MATLAB.

Computational Math Programs:

Given the computational nature of the course, access to MATLAB (www.mathworks.com) or Octave (www.gnu.org/software/octave) is essential. MATLAB provides student editions for $99 that can be downloaded via the web. Octave is a free (or by donation) alternative to MATLAB that can also be downloaded and installed via the web. Either software should suffice for all the needs of the course, but MATLAB is the strongly recommended alternative. 

MathWorks is also pleased to provide a special license to you as a course participant to use for your Coursera course. This is a limited license for the duration of your course plus 30 days and is intended to be used only for course work and not for commercial purposes.

Below is the MATLAB download link for the “Computational Methods for Data Analysis” course:

https://www.mathworks.com/licensecenter/classroom/compmethods

Course Lecture Packet:

Download: Course Lecture Notes Packet- These notes are intended as the primary source of information for this Coursera course. The notes may contain errors. Any other use aside from classroom purposes and personal research is prohibited and copyrighted.

Course Reference Texts:

1. D. L. Hartmann, ATM 552 Objective Analysis. (freely available)

2. L. N. Trefethen, Finite Difference and Spectral Methods. (freely available).

3. L. N. Trefethen, Spectral Methods in MATLAB. SIAM.

4. L. N. Trefethen and D. Bau, Numerical Linear Algebra. SIAM.

5. I. Daubechies, Ten Lectures on Wavelets SIAM (1992).