This course introduces the core principles of digital signal processing (DSP), including discrete time signals and systems, sampling, ADC/DAC conversion, aliasing, and essential mathematical foundations. The material also covers AI driven signal classification, feature extraction, and filtering using MATLAB and Python, along with AI based spectrum estimation, adaptive neural filtering, and intelligent audio and biomedical signal analysis.