With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding  obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.

Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture  of their choice. This version of the course uses the MATLAB programming language.

By the end of this course you should be able to perform Convolution with matlab, perform  Discrete Fourier Transform (DFT)  with matlab, perform Inverse Discrete Fourier Transform (IDFT)  with matlab , design and develop Finite Impulse Response (FIR) filters with matlab, design and develop Infinite Impulse Response (IIR) filters  with matlab, develop Windowed-Sinc filters with matlab, build Modified Sallen-Key filters,  build Bessel, Chebyshev and Butterworth filters,  even give a lecture on DSP and so much more. Please take a look at the full course curriculum.

Some of the theory in this course is based on "The Scientist and Engineer's Guide to Digital Signal Processing" by  Steven W. Smith. You can download a free copy online.