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"How to Solve it" by Polya.
With this reference, you can read about some useful techniques for developing skills in problem solving.

How to Study Math
In this excepted and edited article by Paul Dawkins, you will get some tips and pointers on how to study math.

Applications of Linear Algebra.
In this handout you will find brief overviews of many of the important applications of linear algebra. Hopefully, but the end of the course, you will be able to see how linear algebra is used in these applications.

The Fundamental Theorem of Linear Algebra.
In this paper by Gilbert Strang (M.I.T.) discusses the Fundamental Theorem of Linear Algebra and the pictures that go with it. This paper give a nice summary of the Theorem that should be helpful in understanding the Theorem and should serve as a nice reference for your library.

The Anatomy of a Large-Scale Hypertextual Web Search Engine.
In this seminal paper, Brin and Page (Google) describe the archetechture of their web serach engine, and define how the PageRank of a webpage is computed. According to Brin and Page, "a page can have a high PageRank if there are many pages that point to it, or if there are some pages that point to it and have a high PageRank.'' Finding the PageRank involves finding the dominant eigenvector of the "Google Matrix."

Google's PageRank: The Math Behind the Search Engine.
In this nice exposition, R. Wills desribes with a simple example how the PageRank is computed and discusses such issues as the computational complixity and how the PageRank might be manipulated by clever referencing.

Linear Algebra in a Nutshell.
This is a nice concise summary of many of the important concepts that we cover in an introductory course in Linear Algebra. It serves as a nice summary and reference once you have completed your first linear albegra course.