Digital Signal Processing (DSP) is the central technology in image and voice recognition, sound processing, remote sensing and wireless communication. The penetrations of tiny and affordable sensors and computers and the high performance computing available with cloud services result in DSP everywhere. However, because of the discrete nature of digital signal, DSP needs to be properly implemented and the results should be properly comprehended. Otherwise, DSP may lead us to a solution which is artificially produced by its discrete nature. In this class, students learn the theory and principles of digital signal processing through hands on using MATLAB/Simulink. This class proceeds with the hands-on-first, theory-later policy. Every topic, we basically start with the implementation of signal processing system or application , then later study how and why it works that way with the minimum set of theoretical study.