## References

"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.

Practical Mathematics
In this nicely written, concise treatment of the topics of this course, you will find this to be a useful and handy resource for study or for review. This was written by Efthimios Kaxiras as a result of his teaching applied mathematics courses to undergrduate students at Harvard University.

Complex Variables
In this set of lecture notes prepared by Stefan Waner from the Department of Mathematcis at Hofstra University for a course in Advanced Mathematics, you may find some useful material related to Complex Variables.

Fourier Series
A chapter on Fourier Series from Schaum Outline Series. This is a nice resource for problems with solutions. You may wish to look at this and other books in the Schaum Outline Series for additional resources related to this course. Another good one is the Schaum Outline Series on Complex Variables.

The Fourier Transform and its Applications
These lecture notes from Course 261 at Stanford University written and prepared by Professor Brad Osgood provide a nice coverage of the Fourier transform with examples on where it is found in applications.

The Foundations of Probability Theory
This is Chapter 1 of a new textbook entitled "From Basic Probability Theory to Discrete Random Processes." This chapter will serve as an introduction to the foundations of probability theory, sample spaces, events, and the fundamental axioms of probability.

Conditional Probability and Independence
This is the second chapter from the new textbook "From Basic Probability Theory to Discrete Random Processes." In this chapter, you will learn about the very important concept of conditional probability and see how it is used in some practical applications. Also, a formal definition of what it means for collections of events to be independent is given.