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"This book caters for a complete course in systems and signals, aimed at a computer and electrical engineering audience. Supported with engaging interactive content and a rich plethora of examples and code, it allows readers to run Python programs for convolution, discrete time Fourier transforms and series, sampling, and interpolation for a wide range of functions. Comprised of 14 chapters, the book discusses Fourier analysis and its history, presenting properties of Fourier series and trigonometric Fourier series. With the addition of basic building blocks of signals and systems, the book displays the functions of signals and feedback control systems, such as series, parallel, hybrid, and properties of systems. The authors explain concepts behind the classic formulations and interpret their historical progresses, using the following as examples: the origin and meaning of Euler number, the rationale behind the complex numbers, the impact of complex exponentials as a building block of many complicated functions, the meaning of convolution operation, and the concept of harmony. Students will be guided through basic differential equations, basic linear algebra, and calculus to ensure full appreciation of the exercises."--