The primary purpose of this course is to provide the students with the background and necessary experience (by way of lots of practice) to feel comfortable using the interactive software Matlab. Learning any new software presents certain obstacles by way of needing to memorize new syntax and becoming familiar with the operating environment. Even though Matlab is quite easy to use once you get used to it, we must nevertheless spend some time at the beginning to becoming acquainted with the Matlab interface and syntax. This will be accomplished in several ways. First the text for the course is the Fourth Edition of the ``Matlab Primer'' by Kermit Sigmon. This book contains a brief but fairly complete description of the most elementary aspects of Matlab. Second there are several files in HTML format, developed by L. Schovanec and D. Gilliam which cover many topics in the use of Matlab and also includes many examples that will you can work through and develop confidence in your Matlab skills.
A secondary, but also an important, part of the class will consist in the use of Matlab to investigate several different topics in Approximation Theory. We do this so that some focus on applicability can be maintained as we proceed through Matlab and also so that you can learn some useful numerical tools that can be applied in other scenarios. I chose approximation theory, at least my version of it, because numerical approximation lies at the heart of so many applied topics. You will see what I mean as the course progresses. The book Introduction to scientific computing: a matrix vector approach using Matlab, Printice Hall, 1997, by Charles Van Loan is a very book which is available in the bookstore. Some of the material will be taken from this book.
In the next few days there will be many additions to this page. These will include the class sylabus, home work assignments, class notes, etc.
Lessons 1.,2. and 3. for Math 4330 and 5344 are now available in Adobe Acrobat PDF format. If you don't have a copy of the Adobe Acrobat Reader required to view PDF files, you can download a copy of the Adobe Acrobat Reader for your machine. The following links can be used to download the PDF version of the lessons that can be viewed and printed using the Adobe Acrobat Reader and can also be used to copy and paste lines into Matlab.