Background --
Complex numbers --
The discrete Fourier transform --
Fourier coefficients and first Fourier series --
Summability of Fourier series --
Fourier series in mean square --
Trigonometric polynomials --
Absolutely convergent Fourier series --
Convergence of Fourier series --
Applications of Fourier series --
The Fourier transform --
Higher dimensions --
The Binomail theorem --
Chebyshev polynomials --
Applications of the Fundamental theorem of algebra --
Orders of magnitude --
Trigonometry.

Fourier Analysis is an important area of mathematics, especially in light of its importance in physics, chemistry, and engineering. Yet it seems that this subject is rarely offered to undergraduates. This book introduces Fourier Analysis in its three most classical settings: The Discrete Fourier Transform for periodic sequences, Fourier Series for periodic functions, and the Fourier Transform for functions on the real line. The presentation is accessible for students with just three or four terms of calculus, but the book is also intended to be suitable for a junior-senior course, for a capstone undergraduate course, or for beginning graduate students. Material needed from real analysis is quoted without proof, and issues of Lebesgue measure theory are treated rather informally. Included are a number of applications of Fourier Series, and Fourier Analysis in higher dimensions is briefly sketched. A student may eventually want to move on to Fourier Analysis discussed in a more advanced way, either by way of more general orthogonal systems, or in the language of Banach spaces, or of locally compact commutative groups, but the experience of the classical setting provides a mental image of what is going on in an abstract setting.